| Name | Title & Affiliation | Topics & Selected Recent Papers (2023–2025) | Career Notes | PhD | Tenure |
|---|---|---|---|---|---|
| Carnegie Mellon University — Language Technologies Institute (LTI) & CS | |||||
CMU LTI |
Assistant Professor Language Technologies Institute, CMU |
grounded languageembodied AIvision-languagemultimodal
PIQA: Reasoning about Physical Commonsense in Natural Language AAAI 2020 (highly cited)
Experience Grounds Language EMNLP 2020 (highly cited)
|
Served as ACL 2022 publications co-chair; active in embodied NLP |
2016 Univ. of Texas, Dallas |
|
CMU LTI |
Associate Professor Language Technologies Institute, CMU |
information retrievalfairness in IRevaluation
Towards Principled Evaluation of LLMs for Retrieval SIGIR 2024
Mixture of Relevance Distributions for IR ECIR 2023
|
Joined CMU LTI from MSR Montreal ~2022 |
2008 UMass Amherst |
|
CMU LTI |
Assistant Professor Language Technologies Institute, CMU |
code generationgrounded languagepragmaticsagents
InCoder: A Generative Model for Code Infilling and Synthesis ICLR 2023
MiniChain: A Small Library for Coding with LLMs EACL 2023
Pragmatic Code Autocomplete EMNLP 2023
|
Joined CMU LTI 2022; previously postdoc at Berkeley |
2021 UC Berkeley |
★ ~2028 |
CMU LTI |
Assistant Professor Language Technologies Institute, CMU |
text generationLLM watermarkingmemorizationcreative writing AI
Preventing Verbatim Memorization in Language Models ICLR 2023
Watermarking LLMs via Soft-Green List ICML 2023
Creative Writing with an AI Collaborator ACL 2024
|
Joined CMU LTI 2023; previously Google Brain |
2022 Univ. of Pennsylvania |
★ ~2029 |
CMU LTI |
Associate Professor Language Technologies Institute, CMU |
machine translationtext generationmultilingual LLMs
Extrapolating LLM Capabilities to New Tasks ACL 2024
ELRT: Efficient Low-Rank Training for LLMs EMNLP 2023
|
Moved to CMU LTI from UCSB ~2022 |
2011 Peking University |
|
CMU LTI |
Associate Professor (Leonardo Chair) Language Technologies Institute, CMU |
multimodal AIsentiment analysissocial signals
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning NeurIPS 2021 (highly cited)
Foundations & Trends in Multimodal Machine Learning ACM CSUR 2023
|
Directs Multicomp Lab; leading CMU multimodal AI efforts |
2007 USC |
|
CMU LTI |
Associate Professor Language Technologies Institute, CMU |
LLM agentscode generationmultilingual NLPevaluation
SWE-bench: Can Language Models Resolve Real GitHub Issues? ICLR 2024
OpenHands: An Open Platform for AI Software Developers ICLR 2025
MTEB: Massive Text Embedding Benchmark EMNLP 2023
|
SWE-bench and OpenHands among most influential 2024 agent papers; NSF CAREER |
2012 Kyoto University |
|
CMU LTI |
Kavčić-Moura Professor LTI & HCII, CMU |
dialogue systemseducational NLPcollaborative learning
LLMs for Education: Emerging Practices and Principles ACL 2024 workshop
Evaluating Conversational AI for STEM Learning EDM 2023
|
Served as Interim LTI Director 2020–2022; ACL Fellow |
1997 CMU |
|
CMU LTI |
Assistant Professor LTI, CMU; part-time AI2 |
social intelligencecommonsense reasoningAI safetybias & fairness
Artificial Hivemind: The Open-Ended Homogeneity of LLMs NeurIPS 2025 (Best Paper)
AnnotatorBias: Diagnosing Annotator Disagreement in NLP ACL 2024
Moral Stories: Situated Reasoning about Norms EMNLP 2021 (highly cited)
|
2025 Packard Fellow; 2025 Okawa Research Award; NeurIPS 2025 Best Paper |
2021 Univ. of Washington |
★ ~2028 |
CMU LTI |
Assistant Professor Language Technologies Institute, CMU |
efficient NLPstructured predictionenergy & compute
Energy and Policy Considerations for Deep Learning in NLP ACL 2019 (highly cited)
SLING: More than Just a Kitchen Sink for Structured Prediction ACL 2023
|
Joined CMU LTI 2020; NSF CAREER 2023 |
2020 UMass Amherst |
★ ~2027 |
CMU LTI |
Associate Professor Language Technologies Institute, CMU |
speech processingASRspoken languageend-to-end models
ESPnet2: An Upgraded E2E Speech Processing Toolkit INTERSPEECH 2021 (highly cited)
Investigating Whisper's Multilingual ASR Capabilities ICASSP 2024
|
Lead of ESPnet open toolkit used worldwide |
2006 Waseda University |
|
CMU LTI |
Assistant Professor Language Technologies Institute, CMU |
reasoningtheorem provingLLM trainingself-improvement
Generating Sequences by Learning to Self-Correct ICLR 2023
LLEMMA: An Open Language Model for Mathematics ICLR 2024
NATURALPROOFS: Mathematical Theorem Proving in Natural Language NeurIPS 2021 (highly cited)
|
Joined CMU LTI 2023; previously postdoc at UW/AI2; NSF CAREER 2025 |
2021 NYU |
★ ~2029 |
CMU LTI |
Associate Professor Language Technologies Institute, CMU |
information retrievaldense retrievalRAG
ANCE: Approximate Nearest Neighbor Negative Contrastive Estimation ICLR 2021 (highly cited)
DRAGON: Pre-training with Dense-Sparse Retrieval EMNLP 2023
Bridging the Training-Inference Gap in Dense Retrieval ACL 2024
|
Joined CMU LTI from MSR 2021 |
2018 CMU |
|
CMU LTI |
Assistant Professor Language Technologies Institute, CMU |
human-AI interactionNLP evaluationdata augmentationNLP tools
PromptChainer: Chaining LLM Prompts through Visual Programming CHI 2022
AI Chains: Transparent and Controllable Human-AI Interaction CHI 2022
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot LLM Coaching ACL 2024
|
Joined CMU LTI 2022; NSF CAREER 2025 |
2021 Univ. of Washington |
★ ~2028 |
| Columbia University — Computer Science & Barnard College | |||||
Columbia CS |
Assistant Professor Computer Science, Columbia University |
LM interpretabilityprobinginstruction followingbackpack LMs
Backpack Language Models ACL 2023 (Outstanding Paper)
Instruction Following without Instruction Tuning ICLR 2025
Closing the Curious Case of Neural Text Degeneration ICLR 2024
|
Joined Columbia CS 2024; PhD from Stanford (Manning & Liang); Visiting Researcher, Google DeepMind |
2024 Stanford University |
★ ~2031 |
Columbia CS |
Professor Computer Science, Columbia University |
speech prosodyspoken languagedeception detectioncharisma
Acoustic-Prosodic Indicators of Deception in LLM-Generated Text NAACL 2024
Detecting Persuasion in Speech INTERSPEECH 2023
|
ACL Fellow; IEEE Fellow; ISCA Fellow; major figure in spoken NLP |
1985 Univ. of Pennsylvania |
|
Columbia CS |
Professor; Director, Data Science Institute Computer Science, Columbia University |
summarizationtext generationclinical NLP
Benchmarking LLMs for News Summarization TACL 2024
Multi-document Summarization with LLMs EMNLP 2023
|
ACL Fellow; NAS member; pioneer of NLG and summarization |
1982 Univ. of Pennsylvania |
|
Barnard / Columbia CS |
Associate Professor Computer Science, Barnard College, Columbia University |
argumentationfigurative languagecreative NLPsocial good NLP
Art or Artifice? LLMs and the False Promise of Creativity CHI 2024
Connecting the Dots: Evaluating Abstract Reasoning via NYT Connections EMNLP 2024
ICLEF: In-Context Learning with Expert Feedback for Style Transfer ACL 2024
|
Joined Barnard/Columbia as Associate Professor 2024; Amazon Scholar; previously Columbia DSI Research Scientist |
2006 Rutgers University |
|
Columbia CS |
Associate Professor Computer Science, Columbia University |
dialogue systemsconversational AImultimodal dialogue
Collaborative Role-Play for LLM Evaluation NAACL 2024
MindDial: Belief Dynamics Tracking in Task-Oriented Dialogue ACL 2023
|
Moved from UC Davis to Columbia ~2021; NSF CAREER |
2017 Carnegie Mellon University |
|
| Cornell University — CS & Information Science | |||||
Cornell CS |
Associate Professor Computer Science, Cornell University |
semantic parsinggrounded languageinstruction following
Weakly Supervised Learning of Semantic Parsers for Instructions TACL 2013 (ACL Test-of-Time 2024)
Evaluating Open-Domain Dialogue with ACUTE-EVAL EMNLP 2024 (Best Paper)
|
EMNLP 2024 Best Paper; ACL Test-of-Time Award 2024 |
2013 Univ. of Washington |
|
Cornell CS |
Professor Computer Science, Cornell University |
information extractionsentimentopinion miningargument mining
Argument Mining with LLMs: Survey and Perspectives Computational Linguistics 2023
|
ACL Fellow; pioneered IE and argumentation mining |
1994 UMass Amherst |
|
Cornell IS |
Associate Professor Information Science, Cornell University |
social NLPonline communitieslanguage changepersuasion
Conversations Gone Awry: Detecting Early Signs of Failure ACL 2018 (highly cited)
Conversational Dynamics and Community Norms with LLMs ACL 2024
|
NSF CAREER 2018; leading computational social science work |
2012 Cornell University |
|
Cornell CS |
Professor CS & Information Science, Cornell |
sentiment analysisopinion miningsocial NLPlanguage & power
Power Dynamics in Conversations with LLMs ACL 2024
|
ACL 25-Year Test-of-Time Award 2024; ACL Fellow |
1997 Harvard University |
|
Cornell CS |
Assistant Professor Computer Science, Cornell University |
sequence modelsmusic generationLM theorywatermarking
Robust Distortion-Free Watermarks for Language Models TMLR 2024
Expressive Piano Performance Generation via Score Infilling ISMIR 2023
|
Joined Cornell CS 2024; previously postdoc at Stanford (Percy Liang) |
2023 Univ. of Washington |
★ ~2031 |
| Georgia Institute of Technology — College of Computing | |||||
Georgia Tech CS |
Associate Professor School of Interactive Computing, Georgia Tech |
information extractionsocial media NLPevent detectionLLM robustness
Having Beer after Prayer? Measuring Cultural Bias in LLMs ACL 2024 (Best Social Impact Award)
NEO-BENCH: Evaluating LLM Robustness with Neologisms ACL 2024
|
ACL 2024 Best Social Impact Award; NSF CAREER |
2013 Univ. of Washington |
|
Georgia Tech CS |
Associate Professor School of Interactive Computing, Georgia Tech |
text simplificationNLGsocial media NLPLLM evaluation
Automatic and Human-AI Interactive Text Simplification ACL 2024 tutorial
ReadMe++: Benchmarking Multilingual LMs for Readability EMNLP 2024
|
Tenured and promoted to associate professor ~2023; NSF CAREER |
2014 NYU |
|
| Johns Hopkins University — CLSP & Computer Science | |||||
JHU CS / CLSP |
John C. Malone Professor of CS CS & CLSP, Johns Hopkins University |
clinical NLPhealth informaticssocial media NLPpublic health AI
Large Language Models for Healthcare: Successes and Limitations EMNLP 2023
Tobacco Use Identification from Clinical Notes via LLMs ACL 2024
|
ACM Fellow; extensive health NLP research; Malone Professor chair |
2009 Univ. of Pennsylvania |
|
JHU CS / CLSP |
Professor CS & CLSP, Johns Hopkins University |
probabilistic NLPstructured predictionLM theoryprogram synthesis
Contrastive Decoding: Open-ended Text Generation as Optimization ACL 2023
Formal Language Theory and LLMs TACL 2023
|
ACL Fellow; creator of influential semiring/CRF frameworks |
1997 Univ. of Pennsylvania |
|
JHU CS / CLSP |
Associate Professor CS & CLSP, Johns Hopkins University; Research Scientist, HLTCOE |
semantic NLPLLM safetyknowledge representationprocess supervision
SemStamp: A Semantic Watermark for Text Generation NAACL 2024
Rationalyst: Pre-training Process-Supervision for Reasoning ACL 2025
Controllable Safety Alignment: Inference-Time Adaptation ICLR 2025
|
Leads HLTCOE text research; extensive work on annotation-efficient NLP |
2009 Univ. of Rochester |
|
| Massachusetts Institute of Technology — CSAIL & EECS | |||||
MIT CSAIL / EECS |
Associate Professor (X Consortium) EECS & CSAIL, MIT |
language learningcompositionalitypragmaticsLM interpretability
Eliciting Human Preferences with Language Models ICLR 2025
Algorithmic Capabilities of Random Transformers NeurIPS 2024
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes NAACL 2024 (Best Paper)
|
NAACL 2024 Best Paper; promoted to associate professor ~2024 |
2017 UC Berkeley |
★ ~2026 |
MIT CSAIL / EECS |
School of Engineering Distinguished Professor of AI & Health EECS & CSAIL, MIT; AI Lead, Jameel Clinic |
clinical NLPdrug discoveryNLP for health
Antibiotic Discovery with Deep Learning Cell 2020 (highly cited)
Taming LLMs for Clinical Use EMNLP 2023
|
TIME100 AI 2025; IEEE Frances E. Allen Medal 2025; NAE & NAM member; MacArthur Fellow 2017 |
2003 Columbia University |
|
MIT CSAIL / EECS |
Assistant Professor EECS & CSAIL, MIT |
LM theoryin-context learningstructured prediction
In-Context Language Learning: Architectures and Algorithms ICML 2024
Transformers as Statisticians: Provable In-Context Learning NeurIPS 2023
Scan and Snap: Understanding Token Composition in 1L Attention NeurIPS 2023
|
Joined MIT 2020; NSF CAREER 2023 |
2019 Harvard University |
★ ~2027 |
MIT Brain & Cognitive Sci. |
Professor Brain & Cognitive Sciences, MIT |
psycholinguisticscomputational cognitive scienceLM and human language processing
How Well Do LLMs Predict Human Reading Times? ACL 2023
Language Models and Human Language Acquisition NAACL 2024
|
Leading voice on cognitive plausibility of LLMs |
2005 Stanford University |
|
| University of Michigan — EECS & School of Information | |||||
Univ. of Michigan EECS |
Professor; Associate Director, MIDAS EECS, Univ. of Michigan |
grounded NLPhuman-robot interactionsituated dialoguemultimodal
MMLI: A Multimodal Math Language Instruction Dataset ACL 2024
Evaluating Situated Dialogue Systems EMNLP 2023
|
ACL Fellow; Associate Director of Michigan MIDAS 2023 |
1998 Duke University |
|
Univ. of Michigan EECS |
Assistant Professor EECS, Univ. of Michigan |
LLM safetycausality in NLPalignmentAI for social good
Multilingual Alignment Benchmark for LLMs NeurIPS 2024 (Best Paper)
Can LLMs Express Their Uncertainty? Epistemic Calibration ICLR 2024
Causal Reasoning and Language Models EMNLP 2023
|
Joined Michigan EECS 2024; PhD from ETH Zurich/MPI; NeurIPS 2024 Best Paper |
2023 ETH Zurich / MPI Intelligent Systems |
★ ~2031 |
Univ. of Michigan EECS |
Janice M. Jenkins Collegiate Professor; Director, AI Lab EECS, Univ. of Michigan |
computational social sciencemultilingual NLPdeception detectionmultimodal NLP
Gender Bias and Multilingual Alignment in LLMs NeurIPS 2024 (Best Paper)
MIND: LLM Knowledge Graph for Mental Health Counseling ACL 2024
|
NeurIPS 2024 Best Paper; ACL Fellow 2025; AAAI Fellow 2021; Past President of ACL |
2001 Southern Methodist University |
|
Univ. of Michigan EECS |
Associate Professor EECS, Univ. of Michigan |
summarizationargument miningfactualitymedia bias
Long-Document Abstractive Summarization with LLMs ACL 2024 (Area Chair Award)
Detecting Media Bias and Framing with NLP EMNLP 2023
|
Moved from Northeastern to Michigan ~2020; NSF CAREER; ACL Equity Director 2024 |
2015 Cornell University |
|
| New York University — Courant CS & Center for Data Science | |||||
NYU CS / CDS |
Glen de Vries Chaired Professor of CS & Data Science Courant CS & CDS, NYU |
machine translationgenerative modelsseq2seqAI for biology
Protein Discovery with Discrete Walk-Jump Sampling ICLR 2024 (Outstanding Paper)
On the Ability of Monolingual Models to Learn Cross-lingual Representations EMNLP 2023
|
Inventor of GRU and attention mechanisms; NAE of Korea member; ICLR 2024 Outstanding Paper |
2014 Aalto University |
|
NYU CS / CDS |
Associate Professor Courant CS & CDS, NYU |
LLM alignmentrobustnessevaluationhuman-AI collaboration
Is Reinforcement Learning (Not) the Solution to Robust NLP? ACL 2024
Evaluating Language Models via Calibrated Uncertainty Estimation NAACL 2024
Revisiting the Role of Language Priors in Visual Question Answering EMNLP 2021 (highly cited)
|
Co-leads NYU ML² group; NSF CAREER; active in LLM alignment research |
2016 Univ. of Maryland |
|
NYU CS / CDS |
Associate Professor of CS & Data Science Courant CS & CDS, NYU |
question answeringentity understandingmultilingual QALLM alignment
CaLMQA: Culturally Specific Long-Form QA in 23 Languages ACL 2025
Understanding Retrieval Augmentation for Long-Form QA COLM 2024
AmbigDocs: Reasoning Across Documents on Ambiguous Entities COLM 2024
|
Moved from UT Austin to NYU CDS/Courant ~Fall 2024; NSF CAREER; co-leads ML² group |
2019 Univ. of Washington |
|
NYU CS / CDS |
Associate Professor of CS & Data Science Courant CS & CDS, NYU |
LLM reasoningfact verificationchain-of-thoughtLLM fine-tuning
LoFiT: Localized Fine-tuning on LLM Representations NeurIPS 2024
MuSR: Chain-of-Thought with Multistep Soft Reasoning ICLR 2024 (Spotlight)
Learning to Refine with Fine-Grained Natural Language Feedback EMNLP 2024
|
Moved from UT Austin (8 years) to NYU CDS/Courant Fall 2025; Sloan Fellow 2023; NSF CAREER 2022; co-leads ML² group |
2016 UC Berkeley |
|
NYU Linguistics / CDS |
Associate Professor of Linguistics & Data Science Linguistics & CDS, NYU; Research Scientist, Google |
computational linguisticsLM evaluationpsycholinguisticssyntax in LMs
What Formal Languages Can Transformers Express? TACL 2023
Task Demands Affect LM Evaluation Conclusions NAACL 2024
|
Moved from JHU to NYU 2020; Director of Graduate Studies, NYU Linguistics |
2013 École Normale Supérieure |
|
| Princeton University — Computer Science & Princeton Language and Intelligence (PLI) | |||||
Princeton CS |
Charles C. Fitzmorris Professor; Director, PLI Computer Science, Princeton |
LLM theorymechanistic interpretabilityrepresentation learning
Fine-Tuning Language Models with Just Forward Passes (MeZO) NeurIPS 2023
A Kernel-Based View of Language Model Fine-Tuning ICML 2023
|
Directs Princeton Language & Intelligence; Gödel Prize; NAS member |
1994 UC Berkeley |
|
Princeton CS |
Associate Professor Computer Science, Princeton; Affiliated, PLI |
dense retrievalopen-domain QAin-context learninglong-context LLMs
SimCSE: Simple Contrastive Learning of Sentence Embeddings EMNLP 2021 (highly cited)
Enabling LLMs to Generate Text with Citations EMNLP 2023
How to Train Long-Context Language Models Effectively ICLR 2025
|
Sloan Fellow 2022; NSF CAREER; promoted to associate professor ~2024 |
2018 Stanford University |
|
Princeton CS |
Associate Professor Computer Science, Princeton; Affiliated, PLI |
LLM agentsRL for languagecode agents
ReAct: Synergizing Reasoning and Acting in Language Models ICLR 2023
SWE-agent: Agent-Computer Interfaces for Coding Tasks NeurIPS 2024
Tree of Thoughts: Deliberate Problem Solving with LLMs NeurIPS 2023
|
NSF CAREER; ReAct and Tree of Thoughts foundational agent papers 2023 |
2017 MIT |
|
| Stanford University — Computer Science, Linguistics & HAI | |||||
Stanford CS & HAI |
Dieter Schwarz Foundation Professor of CS; Senior Fellow, HAI Computer Science & Stanford HAI |
commonsense AIsmall language modelspluralistic alignmentLLM reasoning
WinoGrande: An Adversarial Winograd Schema Challenge AAAI 2020 (highly cited)
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration EMNLP 2024
MacGyver: Are LLMs Creative Problem-Solvers? NAACL 2024
|
Left UW Aug 2024; joined Stanford CS + HAI June 2025 (Dieter Schwarz Foundation Professor); brief NVIDIA stint; MacArthur Fellow 2022; TIME100 AI 2023 & 2025 |
2010 Cornell University |
|
Stanford CS |
Assistant Professor Computer Science, Stanford |
LLM evaluationRLHFwatermarkingrobustness
AlpacaFarm: A Simulation Framework for RLHF Methods NeurIPS 2023
Robust Distortion-Free Watermarks for Language Models TMLR 2024
Observational Scaling Laws and Predictability of LM Performance NeurIPS 2024
|
Joined Stanford CS 2019; co-teaches CS336 (Language Modeling from Scratch) |
2018 MIT |
|
Stanford Linguistics & CS |
Jackson Eli Reynolds Professor (Linguistics & CS) Linguistics & CS, Stanford |
social languagedialoguecomputational social science
Speech and Language Processing, 3rd ed. (pre-release) 2024 textbook
Safety-Tuned LLaMAs: Lessons from Improving LLM Safety ICLR 2024
|
Author of standard NLP textbook; ACL Fellow; NAS member |
1992 UC Berkeley |
|
Stanford CS & Linguistics |
Thomas M. Siebel Professor of Machine Learning; Director, SAIL CS & Linguistics, Stanford |
neural NLPparsingrepresentation learninguniversal dependencies
Universal Dependencies 2.13 Release LREC-COLING 2024
The CRINGE Loss: Learning What Language Not to Model ACL 2023
|
IEEE John von Neumann Medal 2024; ACL Test-of-Time Awards 2023–2025 (3 consecutive); ACL Fellow |
1994 Stanford University |
|
Stanford CS |
Associate Professor of CS; Director, CRFM CS, Stanford; Director, Center for Research on Foundation Models |
foundation modelsbenchmarkingrobustnessLLM analysis
Holistic Evaluation of Language Models (HELM) NeurIPS 2023
AlpacaFarm: A Simulation Framework for RLHF NeurIPS 2023
Do Foundation Models Narrate Their Own Training Data? COLM 2024
|
Directs CRFM; led influential Foundation Models report (2021) |
2011 UC Berkeley |
|
Stanford Linguistics |
Professor of Linguistics; Co-Director, CRFM Linguistics & CS (by courtesy), Stanford |
semanticspragmaticsNLIsentiment analysis
Multitask Prompted Training Enables Zero-Shot Task Generalization ICLR 2022 (highly cited)
DynaSent: Dynamic Sentiment Analysis Benchmark ACL 2021
|
Co-Director CRFM; ACL Fellow; long-time semantics/pragmatics contributor |
2003 UC Santa Cruz |
|
Stanford CS |
Assistant Professor Computer Science, Stanford; Affiliate, Stanford HAI |
computational social sciencedialogueLLM for social goodmental health NLP
Harnessing LLMs in Practice: Survey on ChatGPT and NLP ACM TKDD 2023
Language Models for Social Media Annotation ACL 2024
|
Moved from Georgia Tech to Stanford CS 2022; NSF CAREER |
2019 Carnegie Mellon University |
★ ~2028 |
| University of California, Berkeley — EECS & School of Information | |||||
UC Berkeley I School |
Associate Professor School of Information, UC Berkeley |
cultural analyticscomputational humanitiesNLP for literatureentity recognition
Measuring Diversity in Hollywood through Computational Film Analysis PNAS 2024
AboutMe: Documenting Effects of English Pretraining Data Filters ACL 2024
Speak, Memory: Books Known to ChatGPT/GPT-4 EMNLP 2023
|
NSF CAREER 2019; leads BookNLP & LitBank projects |
2012 CMU |
|
UC Berkeley EECS |
Associate Teaching Professor EECS, UC Berkeley |
machine translationNLP education
Compositional Span Embeddings for Document Retrieval ACL 2023
|
Lead educator for Berkeley CS 188/189; massive open course impact |
2010 UC Berkeley |
|
UC Berkeley EECS |
Professor of Computer Science EECS, UC Berkeley |
parsingunsupervised NLPmachine translationLM fundamentals
Language Model Evaluation Beyond Perplexity ACL 2021 (highly cited)
|
ACL Fellow; longtime Berkeley NLP group leader |
2004 Stanford University |
|
UC Berkeley EECS |
Assistant Professor EECS, UC Berkeley; Research Scientist, AI2 |
retrieval-augmented generationLLM factualityquestion answering
FActScore: Fine-Grained Atomic Evaluation of Factual Precision EMNLP 2023
RePlug: Retrieval-Augmented Black-Box Language Models NAACL 2024
Rethinking the Role of Demonstrations for In-Context Learning EMNLP 2022 (highly cited)
|
Joined UC Berkeley EECS 2024; previously postdoc at UW/AI2; NSF CAREER 2025 |
2023 Univ. of Washington |
★ ~2030 |
UC Berkeley EECS |
Assistant Professor EECS, UC Berkeley |
grounded languagecollaborative agentsvision-languagesituated NLP
NLVR2: Visual Reasoning in Natural Language ACL 2019 (highly cited)
Dynamic Benchmarking of Grounded Language Understanding ICLR 2024
|
Joined UC Berkeley EECS 2022; previously postdoc at Cornell/AI2 |
2022 Cornell University |
★ ~2029 |
| University of California, Los Angeles — Computer Science | |||||
UCLA CS |
Associate Professor; Co-Director, UCLA DataX AI Center Computer Science, UCLA; Amazon Scholar |
multimodal LLMstrustworthy NLPbias & fairnessconstrained generation
SafeWorld: Geo-Diverse Safety Alignment for LLMs NeurIPS 2024
Adaptable Logical Control for Large Language Models NeurIPS 2024
Matryoshka Query Transformer for Large Vision-Language Models NeurIPS 2024
|
Sloan Fellow 2021; EMNLP Best Paper 2017; ACL Outstanding Paper 2023 |
2015 Univ. of Illinois (UIUC) |
|
UCLA CS |
Associate Professor Computer Science, UCLA; Amazon Scholar |
controllable generationcreative languagemultimodal LLMsevaluation
Adaptable Logical Control for LLMs NeurIPS 2024
MacGyver: Are LLMs Creative Problem-Solvers? NAACL 2024
DiagrammerGPT: Generating Open-Domain Diagrams via LLM Planning COLM 2024
|
Promoted to associate professor ~2024; NSF CAREER; DARPA EXPMATH PI |
2017 Johns Hopkins University |
|
UCLA CS |
Professor Computer Science, UCLA |
neurosymbolic AIprobabilistic circuitsLLM reasoningknowledge integration
Adaptable Logical Control for LLMs NeurIPS 2024
On the Paradox of Learning to Reason from Data IJCAI 2023
Probabilistic Circuits: Representations and Algorithms Foundations & Trends in ML 2023
|
Runs UCLA StarAI Lab; leading neurosymbolic AI for NLP |
2013 KU Leuven |
|
| University of Massachusetts Amherst — Manning CICS | |||||
UMass Amherst CICS |
Distinguished University Professor CICS, UMass Amherst |
information extractionknowledge basesstatistical NLPmachine learning
Multistage Collaborative Knowledge Distillation from LLMs ACL 2024
Distantly-Supervised Dense Retrieval for Open-Domain QA EMNLP 2021 (highly cited)
|
ACM Fellow; ACL Fellow; founder of IESL lab; major IE & probabilistic NLP contributions |
1995 Carnegie Mellon University |
|
UMass Amherst CICS |
Associate Professor CICS, UMass Amherst |
computational social sciencesocial factors in NLPpolitical NLP
From Narratives to Headlines: LLMs for News Summarization EMNLP 2023
Annotator Social Bias in NLP Datasets ACL 2024
|
NSF CAREER; active work on measurement of social phenomena in text |
2013 CMU |
|
UMass Amherst CICS |
Associate Professor CICS, UMass Amherst |
information retrievalconversational searchRAGexplainability
Large Language Models Are Not Robust Evaluators NAACL 2024
PEARL: Prompting Large Language Models to Plan and Execute Actions for Long-Document EACL 2024
|
NSF CAREER; active in conversational search and retrieval-augmented LLMs |
2019 UMass Amherst |
|
| University of Maryland, College Park — CS & UMIACS (CLIP Lab) | |||||
UMD CS |
Full Professor CS, iSchool & UMIACS, Univ. of Maryland |
question answeringadversarial NLPtopic modelshuman-AI collaboration
LLMs Help Humans Verify Truthfulness—Except When Convincingly Wrong NAACL 2024
KARL: Knowledge-Aware Retrieval and Representations for Student Learning EMNLP 2024
|
Directs CLIP Lab; NSF CAREER; ACL Fellow |
2010 Princeton University |
|
UMD CS |
Associate Professor CS & UMIACS, Univ. of Maryland |
machine translationmultilingual NLPhuman-centered NLP
Human-Centered Approaches to Trustworthy Machine Translation NAACL 2022 tutorial
Trust and Machine Translation: User Study ACL 2024
|
On sabbatical 2024–25 (visiting INRIA Paris); NAACL 2022 Program Co-Chair |
2008 Hong Kong University of Science and Technology |
|
UMD CS |
Professor CS & UMIACS, Univ. of Maryland; Research Scientist, Microsoft Research |
structured predictiondomain adaptationmultilingual NLPresponsible AI
Theory-Grounded Measurement of Social Stereotypes in LMs NAACL 2022 (highly cited)
Deconstructing NLG Evaluation: Practices and Implications ACL 2023
|
ACL Fellow; extensive work on fairness and structured prediction |
2006 Univ. of Southern California |
|
UMD CS |
Associate Professor CS, Univ. of Maryland (moved from UMass Amherst, 2025) |
text generationlong-form NLPfactualitycreative language
FABLES: Evaluating Faithfulness in Book-Length Summarization EMNLP 2024
PostMark: A Robust Blackbox Watermark for LLMs EMNLP 2024
VERISCORE: Evaluating Factuality in Long-Form Text Generation EMNLP 2024
|
Moved from UMass Amherst to UMD 2025; NSF CAREER; Google PhD Fellowship alumnus |
2017 Univ. of Maryland |
|
| University of North Carolina, Chapel Hill — Computer Science | |||||
UNC Chapel Hill CS |
John R. & Louise S. Parker Distinguished Professor; Director, MURGe-Lab Computer Science, UNC Chapel Hill |
multimodal AIlanguage generationreasoning agentsfaithful generation
LACIE: Listener-Aware Finetuning for Confidence Calibration in LLMs NeurIPS 2024
EnvGen: Generating Environments via LLMs for Embodied Agents COLM 2024
DiagrammerGPT: Generating Diagrams via LLM Planning COLM 2024
|
PECASE; ACL Fellow; AAAI Fellow; Parker Distinguished Professorship permanent 2024 |
2013 UC Berkeley |
|
UNC Chapel Hill CS |
Associate Professor; Associate Chair for Research Computer Science, UNC Chapel Hill |
narrative understandingsocial NLPLLM alignmentdialogue
Aligning LLMs with Human Communication: Empathy & Social Awareness ACL 2024
Modeling Social Norms in LLM Dialogue EMNLP 2023
|
Associate Chair for Research at UNC CS; NSF CAREER |
2015 Univ. of Illinois (UIUC) |
|
UNC Chapel Hill CS |
Assistant Professor Computer Science, UNC Chapel Hill |
interactive learningAI explanationLLM alignmentsocially aware NLP
Improving and Simplifying Pattern Exploiting Training (iPET) EMNLP 2021 (highly cited)
Human Feedback for LLM Long-Context Memory EMNLP 2024
|
Joined UNC CS ~2020; NSF CAREER 2024 |
2018 CMU |
★ ~2027 |
| University of Southern California — Thomas Lord CS & ISI | |||||
USC CS |
Assistant Professor Thomas Lord CS, USC |
LLM understandingin-context learningdata memorizationLLM reliability
Mechanistic Insights into In-Context Learning via Attention Heads NeurIPS 2024
Data Watermarking for Copyright Detection in LLMs ACL Findings 2024
|
NSF CAREER 2024; Google Research Scholar award 2023; ACL & EMNLP Best Paper alum |
2020 Stanford University |
★ ~2027 |
USC CS / ISI |
Research Associate Professor CS, USC; Research Lead, Information Sciences Institute |
machine translationNLP for social goodLLM applicationsmultilingual
LLM-Assisted Rule-Based MT for Low-Resource Languages NAACL 2024
Can Language Models Moderate Online Discourse? NAACL 2024
|
Associate Director of NLP Research at ISI; SemEval longtime organizer |
2010 USC |
|
USC CS / ISI |
Associate Professor CS, USC; Research Team Lead, ISI |
commonsense reasoningknowledge-aware NLPLLM alignmentprompt inversion
PILS: Prompt Inversion from Logprob Sequences NeurIPS 2025
Symbolic Working Memory Enhances LLMs for Complex Rule Application EMNLP 2024
ELI-Why: Evaluating Pedagogical Capabilities of LLMs ACL 2024
|
MIT TR35 Asia-Pacific Innovator; WSDM 2024 Test-of-Time Award |
2018 UIUC |
|
USC CS |
Assistant Professor Thomas Lord CS, USC |
dataset qualityannotation artifactsLLM evaluationdata-centric AI
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020 (highly cited)
OATH-Frames: Attitudes Towards Homelessness on Social Media EMNLP 2024
Teaching Models to Understand (but not Generate) High-Risk Data EMNLP 2025
|
Intel Rising Star Faculty Award 2023; AI2 Young Investigators Award; NSF CAREER 2024 |
2020 CMU |
★ ~2027 |
| University of Illinois at Urbana-Champaign — Siebel School of CS & Data Science | |||||
UIUC CS |
Assistant Professor Siebel School CS, UIUC |
text simplificationscience communicationNLP accessibilitywriting tools
Generating Scientific Definitions with Controllable Complexity ACL 2022
How Well Can LLMs Negotiate? AgentBench Evaluation EMNLP 2024
|
Joined UIUC CS 2023; previously postdoc at UW; NSF CAREER 2025 |
2022 Univ. of Washington |
★ ~2030 |
UIUC CS |
Professor (Grainger Engineering) CS, UIUC |
dialogue systemsconversational AIspoken language understandingLLM agents
Instruct, Not Assist: LLM Multi-Turn Planning for Socratic Debugging EMNLP 2024
Unsupervised Human Preference Learning EMNLP 2024
|
Joined UIUC 2023 from Amazon/Google; ACL Fellow; IEEE Fellow |
1998 Bilkent University |
|
UIUC CS |
Professor (Willett Faculty Scholar) CS, UIUC |
parsingCCGgrounded languageLLM in-context learning
Tutor-ICL: Guiding LLMs for Improved In-Context Learning EMNLP 2024
Sparse Autoencoders for In-Context Learning EMNLP 2025
|
Chair of AI area at UIUC CS; co-PI AIFARMS NSF AI Institute |
2003 Univ. of Edinburgh |
|
UIUC CS |
Full Professor (Grainger Engineering) CS & ECE, UIUC |
information extractionknowledge graphsmultimodal NLPevent detection
EVEDIT: Event-based Knowledge Editing for LLMs EMNLP 2024
Mitigating the Alignment Tax of RLHF NeurIPS 2024
LM-Infinite: Zero-Shot Extreme Length Generalization NAACL 2024 (co-author, Outstanding Paper)
|
ACL Fellow; IEEE "Young Scientist"; extensive IE & multilingual research |
2007 New York University |
|
UIUC CS |
Assistant Professor Siebel School CS, UIUC |
LLM reasoninglong-context LLMsRL for languageAI for science
LM-Infinite: Zero-Shot Extreme Length Generalization for LLMs NAACL 2024 (Outstanding Paper)
Eurus: An Open Suite of Reward Models for LLM Alignment ACL 2024
Scaling LLM Test-Time Compute via Inference-Time Intervention ICLR 2025
|
Joined UIUC CS 2023; previously postdoc at AI2; PhD advised by Noah Smith at UW |
2022 Univ. of Washington |
★ ~2029 |
UIUC CS |
Donald Biggar Willett Professor in Engineering CS, UIUC |
information retrievaltext miningLLM-augmented IR
Structured Summarization of Academic Publications EACL 2024
Probabilistic Language Models for IR SIGIR 2021 (Test-of-Time)
|
ACM/IEEE Fellow; SIGIR Test-of-Time Award recipient |
1997 Nanjing Univ. / UIUC |
|
| University of Texas at Austin — CS & Linguistics | |||||
UT Austin Linguistics |
Associate Professor Linguistics, UT Austin |
discoursetext simplificationNLG evaluationquestions under discussion
Salience Prediction of Inquisitive Questions EMNLP 2024 (Outstanding Paper)
Detection and Measurement of Syntactic Templates in LLM Text EMNLP 2024
QUDsim: Quantifying Discourse Similarities in LLM Text COLM 2025
|
EMNLP 2024 Outstanding Paper Award; NSF CAREER |
2016 Univ. of Pennsylvania |
|
UT Austin CS |
Professor Computer Science, UT Austin |
semantic parsinggrounded language learningmultimodal NLP
Grounded Language Learning via Image-Paired Instructions ACL 2023
|
ACL Fellow; AAAI Fellow; pioneer of semantic parsing and ML for NLP |
1988 Univ. of Illinois |
|
UT Austin CS |
Assistant Professor (incoming Fall 2026) Computer Science, UT Austin |
instruction tuningsynthetic dataopen LLMsRLVRLLM agents
Super-NaturalInstructions: Generalization via Declarative Instructions EMNLP 2022 (highly cited)
Self-Instruct: Aligning LMs with Self-Generated Instructions ACL 2023 (highly cited)
Tülu 3: Pushing Frontiers in Open Language Model Post-Training NeurIPS 2024
|
Incoming UT Austin CS Fall 2026; PhD 2025 from UW (Hajishirzi & Smith); currently at ByteDance Seed; Self-Instruct one of most cited NLP papers of 2023 |
2025 Univ. of Washington |
★ ~2032 |
| University of Washington — Paul G. Allen School of CS&E | |||||
UW Allen School |
Torode Family Professor CS&E, Univ. of Washington; Senior Research Director, AI2 |
LLM pretrainingopen modelsQA & reading comprehensionOLMo
OLMo: Accelerating the Science of Language Models ACL 2024
Dolma: An Open Corpus for Language Model Pretraining Research ACL 2024
TÜLU: Instruction-Tuning LLMs via Diverse Datasets ICLR 2024
|
Alfred Sloan Fellow 2020; NSF CAREER 2021; leads AI2 open LLM (OLMo) effort |
2011 UIUC |
|
UW Allen School |
Vice Provost for AI; Simonyi Endowed Chair in AI CS&E, Univ. of Washington; Senior Director NLP, AI2 |
statistical NLPevaluationcomputational social sciencestructured prediction
Revisiting Automated Evaluation of Open-Domain QA EMNLP 2023
Reference-Free Summarization Evaluation ACL 2024
|
Named UW inaugural VP for AI 2024; ACL Test-of-Time Award 2024 |
2006 Johns Hopkins University |
|
UW Allen School |
Associate Professor CS&E, Univ. of Washington |
multilingual NLPcross-lingual transferlow-resource languagesLLM safety
Languages are Rewards: Hindsight Finetuning using Human Feedback EMNLP 2023
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration EMNLP 2024
|
Moved from CMU to UW 2021; NSF CAREER 2022 |
2014 CMU |
|
UW Allen School |
Assistant Professor CS&E, Univ. of Washington |
robustnessdata-centric AIdistribution shiftWILDS benchmark
WILDS: A Benchmark of In-the-Wild Distribution Shifts ICML 2021 (highly cited)
Concept Bottleneck Models ICML 2020 (highly cited)
Stronger Data Poisoning Attacks Break Data Sanitization Defenses MLSys 2022
|
Joined UW 2022; NSF CAREER 2024 |
2022 Stanford University |
★ ~2029 |
UW Allen School |
Professor CS&E, Univ. of Washington; Research Scientist, Meta AI |
semantic parsingpre-trainingmultilingual NLPLLM alignment
Toolformer: Language Models Can Teach Themselves to Use Tools NeurIPS 2023
LIMA: Less Is More for Alignment NeurIPS 2023
|
ACL Test-of-Time Award 2024 (with Smith) |
2009 MIT |
|
| University of Colorado Boulder — CS & Linguistics | |||||
CU Boulder CS & Linguistics |
Professor CS & Linguistics, Univ. of Colorado Boulder |
computational semanticsdialogueNLP education
Speech and Language Processing, 3rd ed. 2024 textbook (co-authored with Jurafsky)
Multimodal Cross-Document Event Coreference Resolution ACL 2024
|
Co-author of the field-defining NLP textbook (Jurafsky & Martin); long career in NLP |
1988 UC San Diego |
|
CU Boulder CS |
Assistant Professor Computer Science, Univ. of Colorado Boulder |
multilingual NLPlow-resource languagestransfer learningcomputational morphology
AmericasNLP: NLP for Indigenous Languages of the Americas NAACL 2024 workshop
Cross-Lingual Transfer for Morphologically Complex Languages EMNLP 2023
|
Joined CU Boulder CS; also holds position at Johannes Gutenberg Univ. Mainz |
2019 LMU Munich |
★ ~2026 |
| University of Notre Dame — Computer Science & Engineering | |||||
Notre Dame CSE |
Associate Professor Computer Science & Engineering, Univ. of Notre Dame |
formal language theorymachine translationtransformer expressivitylow-resource NLP
What Formal Languages Can Transformers Express? A Survey TACL 2024
Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages NeurIPS 2024
Stack Attention: Improving Transformers on Hierarchical Patterns ICLR 2024 (Spotlight)
|
ACL 2024 Outstanding Paper Award and Social Impact Award; leading work on formal properties of transformers |
2004 Univ. of Pennsylvania |
|
Notre Dame CSE |
Associate Professor Computer Science & Engineering, Univ. of Notre Dame |
knowledge graphsLLM reasoninginformation extractionAI for science
Towards Safer LLMs through Machine Unlearning ACL 2024
Large Language Models on Graphs: A Comprehensive Survey IEEE TKDE 2024
Instructing LLMs to Identify and Ignore Irrelevant Conditions AAAI 2024
|
NSF CAREER; active in knowledge-augmented NLP and AI for science |
2015 UIUC |
|
| Ohio State University — Computer Science & Engineering | |||||
OSU CSE |
Associate Professor (CoE Innovation Scholar) CSE, Ohio State University |
LLM agentsweb agentsQALLM safety
Mind2Web: Towards a Generalist Agent for the Web NeurIPS 2023 (highly cited)
GPT-4V(ision) is a Generalist Web Agent, if Grounded ICML 2024
AmpleGCG: Universal Transferable Generative Adversarial Suffixes for Jailbreaking LLMs COLM 2024
|
NSF CAREER; Google Faculty Award; Mind2Web foundational agent benchmark |
2015 UC Santa Barbara |
|
OSU CSE |
Associate Professor CSE, Ohio State University |
LLM agentsGUI agentsknowledge graphssemantic parsing
Mind2Web: Towards a Generalist Agent for the Web NeurIPS 2023 (co-first author)
HippoRAG: Neurobiologically Inspired Long-Term Memory for LLMs NeurIPS 2024
UGround: Universal Visual Grounding for GUI Agents ICLR 2025 (Oral)
|
NSF CAREER; ACL 2023 Outstanding Paper; co-leads OSU NLP group |
2018 UC Santa Barbara |
|
OSU Linguistics |
Professor & Vice Chair Linguistics, Ohio State University |
natural language generationdialogue systemscomputational semantics
When is Tree Search Useful for LLM Planning? It Depends on Discriminators ACL 2024
Automatic Scoring of Open-Ended NLG with LLMs EMNLP 2023
|
Long career in NLG and dialogue; active in evaluation with LLMs |
1994 Univ. of Pennsylvania |
|
| Toyota Technological Institute at Chicago (TTI-Chicago) — CS Research Institute | |||||
TTI-Chicago |
Associate Professor Toyota Technological Institute at Chicago (TTIC) |
representation learningstructured predictionNLGrobust NLP
SUB2: Substructure Substitution for Data Augmentation in NLP EMNLP 2023
Generative Classifiers for Robust NLP TACL 2023
|
TTIC faculty since 2012; Amazon Research Award; WMT Best Paper; adviser to many current faculty |
2012 CMU LTI |
|
TTI-Chicago |
Professor Toyota Technological Institute at Chicago (TTIC); courtesy faculty, UChicago CS |
speech processingspoken language understandingself-supervised speechsign language NLP
Toward Joint Language Modeling for Speech Units and Text EMNLP 2023
CTC-DRO: Robust Optimization for Reducing Language Disparities in ASR ICLR 2026
SLUE Phase-2: Benchmark Suite for Diverse Spoken Language Understanding ACL 2023
|
EMNLP 2024 Best Paper; 2025 IEEE Fellow; ISCA Fellow; member UChicago/TTIC C&I group |
2005 MIT |
|
| University of Chicago — Computer Science & Data Science Institute | |||||
UChicago CS |
Assistant Professor Computer Science, Univ. of Chicago |
text generationdecoding algorithmscomplex systems view of LLMs
The Curious Case of Neural Text Degeneration (Nucleus Sampling) ICLR 2020 (highly cited)
Generative Models of Text as Complex Systems NeurIPS 2025
Prompting as Scientific Inquiry NeurIPS 2025
|
Joined UChicago CS 2024; won first Amazon Alexa Prize (2017); nucleus sampling used in production LLMs worldwide |
2022 Univ. of Washington |
★ ~2031 |
UChicago CS |
Assistant Professor Computer Science, Univ. of Chicago |
human-AI writingLLM evaluationwriting assistantscreativity & AI
Evaluating Human-Language Model Interaction TMLR 2023 (highly cited)
Design Space for Intelligent Writing Assistants CHI 2024 (Best Paper Award)
Coauthor: Designing a Human-AI Collaborative Writing Dataset CHI 2022
|
Joined UChicago CS Summer 2024; PhD from Stanford (Percy Liang); MIT Technology Review Korean Innovators Under 35, 2022 |
2023 Stanford University |
★ ~2031 |
UChicago CS |
Associate Professor CS & Data Science Institute, Univ. of Chicago |
human-centered NLPpersuasioncomputational social sciencehuman-AI interaction
Hypothesis Generation with Large Language Models EMNLP 2024 workshop
Decision-Focused Summarization with LLMs EMNLP 2023
Winning Arguments: Interaction Dynamics and Persuasion WWW 2016 (highly cited)
|
Moved from CU Boulder to UChicago ~2020; NSF CAREER; promoted to associate ~2024 |
2016 Cornell University |
|
| University of California, San Diego — CSE & Halicioglu Data Science Institute | |||||
UCSD CSE |
Associate Professor CSE, UC San Diego |
unsupervised NLPhistorical textmusic generationlanguage diversity
Efficient Unsupervised Methods for Historical Document Understanding TACL 2023
Generative AI for Music and Audio ICML 2024
|
NSF CAREER; moved from CMU postdoc to UCSD 2018; Economist-featured work on historical text AI |
2014 UC Berkeley |
|
UCSD HDSI |
Assistant Professor Halicioglu Data Science Institute, UC San Diego |
LLM trainingtext generationreinforcement learningAI agents
RLHF Workflow: From Reward Modeling to Online RLHF TMLR 2024
Open Platypus: A Curated LLM Instruction Dataset COLM 2024
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023
|
Joined UCSD HDSI 2020; NSF CAREER; active in LLM post-training |
2020 CMU |
|
UCSD CSE |
Associate Professor CSE, UC San Diego |
multilingual NLPknowledge extractionLLM interpretabilityAI for healthcare
Cross-Lingual Consistency of Factual Knowledge in Multilingual LLMs EMNLP 2023
Interpretable Features in LLMs for Healthcare QA ACL 2024
|
NSF CAREER; Otto Hahn Medal; founded Okalai AI (Africa AI education outreach) |
2012 Saarland Univ. / MPI Informatics |
|
UCSD CSE & HDSI |
Assistant Professor CSE & Halicioglu Data Science Institute, UC San Diego |
weakly supervised NLPtext miningbiomedical NLPLLM fine-tuning
AutoProg: Automated Prompt Generation for LLMs ACL 2024
Towards Minimal Supervision NLP via Cross-Domain Knowledge Transfer EMNLP 2023
|
Joined UCSD 2020; NSF CAREER 2023 |
2019 UIUC |
★ ~2027 |
| University of California, Santa Cruz — CS & Engineering | |||||
UCSC CSE |
Assistant Professor Computer Science & Engineering, UC Santa Cruz |
semantic parsingAMRdialogue state trackingmachine translation
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking ACL 2023
JAMR: Semantic Parsing & Generation for AMR ACL 2014 (highly cited)
|
Joined UCSC CSE 2019; co-leads UCSC NLP group with Marilyn Walker |
2019 CMU LTI |
★ ~2026 |
UCSC CSE |
Professor; Director, NLP MS Program Computer Science & Engineering, UC Santa Cruz |
dialogue systemsconversational AINLGsocial media dialogue
Controllable Neural NLG for Dialogue ACL 2023
Collaborative AI Partner for Student Group Discussion EDM 2024
|
ACL Fellow; directs UCSC NLP MS program; longtime AT&T Bell Labs researcher before academia |
1993 Univ. of Pennsylvania |
|
| University of Pennsylvania — Computer and Information Science | |||||
Penn CIS |
Professor Computer and Information Science, UPenn |
LLMs & copyrightparaphrasecrowdsourcingtext generation
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows ACL 2024
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation COLM 2024
Towards Faithful Model Explanation in NLP: A Survey CL 2024
|
Testified before US Congress on LLMs and copyright law (2023); Sloan Fellow; 35,000+ citations |
2008 Univ. of Edinburgh |
|
Penn CIS |
Assistant Professor CIS, UPenn; part-time Staff Research Scientist, Apple MLR |
multimodal generative modelsnon-autoregressive generationworld modelsLLM agents
TARFlow: Improving Flow Matching for Text-to-Image Generation ICML 2025 (Oral)
Beyond the Imitation Game: Quantifying LM Capabilities (BIG-bench) TMLR 2023
|
Joined UPenn CIS 2025; previously Apple MLR (2022–2025) and Meta FAIR; part-time Apple affiliation continues |
2019 Univ. of Hong Kong |
★ ~2032 |
Penn CIS |
Eduardo D. Glandt Distinguished Professor CIS, UPenn; Chief AI Scientist, Oracle |
natural language understandingreasoningstructured predictionneurosymbolic AI
Reasoning with Language Model Prompting: A Survey ACL 2023
Learning to Decompose and Compose for Question Answering NAACL 2024
|
ACM/AAAI/ACL Fellow; AAAS Fellow; IJCAI John McCarthy Award 2017; returned to full-time Penn from AWS/Oracle ~2024 |
1995 Harvard University |
|
Penn CIS |
Assistant Professor Computer and Information Science, UPenn |
vision-language modelsmultimodal reasoningbias in vision-language
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024
PaCE: Parsimonious Concept Engineering for LLMs NeurIPS 2024
Situation Recognition: Visual Semantic Role Labeling CVPR 2016 (highly cited)
|
Joined UPenn CIS ~2020; previously AI2 Young Investigator; NSF CAREER |
2017 Univ. of Washington |
★ ~2027 |