Greg Durrett
Associate Professor of Computer Science and Data Science
Studies natural language processing with large language models, including reasoning, factuality checking and explanation of model outputs.
Greg Durrett's lab at NYU works on large language models, reasoning & agents and human-AI collaboration & trust. 51 papers since 2023, 25 at top venues, mostly EMNLP and ICLR. 6 PhD students. 31 alumni. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 49%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 31
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 4 · collecting
- 11 papers2025 · T1 4
- 14 papers2024 · T1 8
- 17 papers2023 · T1 9
T1 venuesOtherVenues: EMNLP, ICLR, Findings of ACL, Findings of EMNLP, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models16 papers
- Reasoning & agents5 papers
- checking2 papers
- Human-AI collaboration & trust1 paper
- factuality1 paper
Paper list
From the lab homepage.
20269 papers
- Proceedings of COLMDetecting and Suppressing Reward Hacking with Gradient Fingerprints
- EMNLP (T1)GENIE: A Fine-Grained Measure for Novelty
- EMNLP (T1)Improving LLMs via Validator-to-Generator Alignment
- Findings of EMNLPLearning Composable Chains-of-Thought
- Proceedings of the International Conference on Interactive Theorem ProvingProofWala: Multilingual Proof Data Synthesis and Theorem-Proving
- Findings of EMNLPRandomized YaRN Improves Length Generalization for Long-Context Reasoning
- ICLR (T1)SkillFactory: Self-Distillation For Learning Cognitive Behaviors
- Proceedings of COLMVeriSoftBench: Repository-Scale Formal Verification Benchmarks for Lean
- NeurIPS (T1)VESTA: Visual Exploration with Statistical Tool Agents
202511 papers
- Proceedings of NeurIPS Datasets and Benchmarks TrackAstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy
- Proceedings of NeurIPS Datasets and Benchmarks TrackChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
- Proceedings of COLMCRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
- Proceedings of COLMEvalAgent: Discovering Implicit Evaluation Criteria from the Web
- NAACL (T1)From Distributional to Overton Pluralism: Investigating Large Language Model Alignment
- EMNLP (T1)Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding
- Proceedings of COLMLongProc: Benchmarking Long-Context Language Models on Long Procedural Generation
- Proceedings of COLMQUDSim: Quantifying Discourse Similarities in LLM-Generated Text
- Proceedings of COLMRankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models
- ICLR (T1)To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
- ICML (T1)Understanding Synthetic Context Extension via Retrieval Heads
202414 papers
- Proceedings of COLMA Long Way To Go: Investigating Length Correlations in RLHF
- ICLR (T1)Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
- NAACL (T1)Complex Claim Verification with Evidence Retrieved in the Wild
- Workshop on Fact Extraction and Verification (FEVER) at EMNLPContrastive Learning to Improve Retrieval for Real-world Fact Checking
- Proceedings of COLMD2PO: Discriminator-Guided DPO with Response Evaluation Models
- Findings of EMNLPLearning to Refine with Fine-Grained Natural Language Feedback
- NeurIPS (T1)LoFiT: Localized Fine-tuning on LLM Representations
- EMNLP (T1)MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
- Findings of EMNLPMolecular Facts: Desiderata for Decontextualization in LLM Fact Verification
- ICLR (T1)MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
- EMNLP (T1)SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
- Proceedings of COLMUsing Natural Language Explanations to Rescale Human Judgments
202317 papers
- EACLAssessing Out-of-Domain Language Model Performance from Few Examples
- ACL (T1)Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
- Findings of ACLComplementary Explanations for Effective In-Context Learning
- OOPSLAData Extraction via Semantic Regular Expression Synthesis
- Proceedings of the First Workshop on Natural Language Reasoning and Structured ExplanationsDeductive Additivity for Planning of Natural Language Proofs
- Findings of ACLDiscourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion
- ACL (T1)EEL: Efficiently Encoding Lattices for Reranking
- EMNLP (T1)Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
- Findings of ACLLess Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
- Findings of ACLPrompted Opinion Summarization with GPT-3.5
- NeurIPS (T1)Propagating Knowledge Updates to LMs Through Distillation
- EMNLP (T1)QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing
Where alumni went31 listed, 0% to industry
Industry 0Academia 4
Also to
- Cornell University
- NYU
- Princeton University
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USNYU
Eunsol Choi
- Knowledge, QA & retrieval
- SGNTU
Erik Cambria
- Reasoning & agents
- CNPeking
Houfeng Wang
- Knowledge, QA & retrieval
- CNPeking
Zhifang Sui
- Knowledge, QA & retrieval
- GBEdinburgh
Emily Allaway
- Large language models
- USUCSD
Lianhui Qin
- Large language models
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
NYUcloses