A Genetic Algorithm to Minimize Chromatic Entropy. - Greg Durrett; Muriel Médard; Una-May O'Reilly (EvoCOP, 2010)

An Empirical Investigation of Discounting in Cross-Domain Language Models. - Greg Durrett; Dan Klein 001 (ACL (2), 2011)

Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. - Greg Durrett; Frank Neumann 001; Una-May O'Reilly (FOGA, 2011)

Syntactic Transfer Using a Bilingual Lexicon. - Greg Durrett; Adam Pauls; Dan Klein 001 (EMNLP-CoNLL, 2012)

Unsupervised Transcription of Historical Documents. - Taylor Berg-Kirkpatrick; Greg Durrett; Dan Klein 001 (ACL (1), 2013)

Decentralized Entity-Level Modeling for Coreference Resolution. - Greg Durrett; David Hall 006; Dan Klein 001 (ACL (1), 2013)

Easy Victories and Uphill Battles in Coreference Resolution. - Greg Durrett; Dan Klein 001 (EMNLP, 2013)

Supervised Learning of Complete Morphological Paradigms. - Greg Durrett; John DeNero (HLT-NAACL, 2013)

Less Grammar, More Features. - David Hall 006; Greg Durrett; Dan Klein 001 (ACL (1), 2014)

A Joint Model for Entity Analysis: Coreference, Typing, and Linking. - Greg Durrett; Dan Klein 001 (Trans. Assoc. Comput. Linguistics, 2014)

Neural CRF Parsing. - Greg Durrett; Dan Klein 001 (ACL (1), 2015)

Disfluency Detection with a Semi-Markov Model and Prosodic Features. - James Ferguson; Greg Durrett; Dan Klein 001 (HLT-NAACL, 2015)

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. - Greg Durrett; Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL (1), 2016)

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. - Matthew Francis-Landau; Greg Durrett; Dan Klein 001 (HLT-NAACL, 2016)

Identifying and Resolving Entities in Text. - Greg Durrett (2016)

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. - Greg Durrett; Jonathan K. Kummerfeld; Taylor Berg-Kirkpatrick; Rebecca S. Portnoff; Sadia Afroz 001; Damon McCoy; Kirill Levchenko; Vern Paxson (EMNLP, 2017)

Tools for Automated Analysis of Cybercriminal Markets. - Rebecca S. Portnoff; Sadia Afroz 001; Greg Durrett; Jonathan K. Kummerfeld; Taylor Berg-Kirkpatrick; Damon McCoy; Kirill Levchenko; Vern Paxson (WWW, 2017)

Effective Use of Context in Noisy Entity Linking. - David Mueller; Greg Durrett (EMNLP, 2018)

Picking Apart Story Salads. - Su Wang 001; Eric Holgate; Greg Durrett; Katrin Erk (EMNLP, 2018)

Spherical Latent Spaces for Stable Variational Autoencoders. - Jiacheng Xu 001; Greg Durrett (EMNLP, 2018)

Modeling Semantic Plausibility by Injecting World Knowledge. - Su Wang 001; Greg Durrett; Katrin Erk (NAACL-HLT (2), 2018)

Domain Agnostic Real-Valued Specificity Prediction. - Wei-Jen Ko; Greg Durrett; Junyi Jessy Li (AAAI, 2019)

Tracking Discrete and Continuous Entity State for Process Understanding. - Aditya Gupta; Greg Durrett (SPNLP@NAACL-HLT, 2019)

Evaluating Discourse in Structured Text Representations. - Elisa Ferracane; Greg Durrett; Junyi Jessy Li; Katrin Erk (ACL (1), 2019)

Embedding Time Expressions for Deep Temporal Ordering Models. - Tanya Goyal; Greg Durrett (ACL (1), 2019)

Effective Use of Transformer Networks for Entity Tracking. - Aditya Gupta; Greg Durrett (EMNLP/IJCNLP (1), 2019)

Query-focused Scenario Construction. - Su Wang 001; Greg Durrett; Katrin Erk (EMNLP/IJCNLP (1), 2019)

Neural Extractive Text Summarization with Syntactic Compression. - Jiacheng Xu 001; Greg Durrett (EMNLP/IJCNLP (1), 2019)

Understanding Dataset Design Choices for Multi-hop Reasoning. - Jifan Chen; Greg Durrett (NAACL-HLT (1), 2019)

Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation. - Wei-Jen Ko; Greg Durrett; Junyi Jessy Li (NAACL-HLT (1), 2019)

Learning to Denoise Distantly-Labeled Data for Entity Typing. - Yasumasa Onoe; Greg Durrett (NAACL-HLT (1), 2019)

Multi-hop Question Answering via Reasoning Chains. - Jifan Chen; Shih-Ting Lin; Greg Durrett (CoRR, 2019)

Fine-Grained Entity Typing for Domain Independent Entity Linking. - Yasumasa Onoe; Greg Durrett (AAAI, 2020)

Neural Syntactic Preordering for Controlled Paraphrase Generation. - Tanya Goyal; Greg Durrett (ACL, 2020)

Benchmarking Multimodal Regex Synthesis with Complex Structures. - Xi Ye; Qiaochu Chen; Isil Dillig; Greg Durrett (ACL, 2020)

Byte Pair Encoding is Suboptimal for Language Model Pretraining. - Kaj Bostrom; Greg Durrett (EMNLP (Findings), 2020)

Calibration of Pre-trained Transformers. - Shrey Desai; Greg Durrett (EMNLP (1), 2020)

Compressive Summarization with Plausibility and Salience Modeling. - Shrey Desai; Jiacheng Xu 001; Greg Durrett (EMNLP (1), 2020)

Evaluating Factuality in Generation with Dependency-level Entailment. - Tanya Goyal; Greg Durrett (EMNLP (Findings), 2020)

Inquisitive Question Generation for High Level Text Comprehension. - Wei-Jen Ko; Te-Yuan Chen; Yiyan Huang; Greg Durrett; Junyi Jessy Li (EMNLP (1), 2020)

Interpretable Entity Representations through Large-Scale Typing. - Yasumasa Onoe; Greg Durrett (EMNLP (Findings), 2020)

Understanding Neural Abstractive Summarization Models via Uncertainty. - Jiacheng Xu 001; Shrey Desai; Greg Durrett (EMNLP (1), 2020)

LambdaNet: Probabilistic Type Inference using Graph Neural Networks. - Jiayi Wei; Maruth Goyal; Greg Durrett; Isil Dillig (ICLR, 2020)

Multi-modal synthesis of regular expressions. - Qiaochu Chen; Xinyu Wang 006; Xi Ye; Greg Durrett; Isil Dillig (PLDI, 2020)

Narrative Interpolation for Generating and Understanding Stories. - Su Wang 001; Greg Durrett; Katrin Erk (CoRR, 2020)

Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering. - Shih-Ting Lin; Greg Durrett (CoRR, 2020)

Effective Distant Supervision for Temporal Relation Extraction. - Xinyu Zhao; Shih-Ting Lin; Greg Durrett (CoRR, 2020)

Sketch-Driven Regular Expression Generation from Natural Language and Examples. - Xi Ye; Qiaochu Chen; Xinyu Wang 006; Isil Dillig; Greg Durrett (Trans. Assoc. Comput. Linguistics, 2020)

Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. - Mahnaz Koupaee; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (ACL/IJCNLP (2), 2021)

Conditional Generation of Temporally-ordered Event Sequences. - Shih-Ting Lin; Nathanael Chambers; Greg Durrett (ACL/IJCNLP (1), 2021)

Modeling Fine-Grained Entity Types with Box Embeddings. - Yasumasa Onoe; Michael Boratko; Andrew McCallum; Greg Durrett (ACL/IJCNLP (1), 2021)

Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. - Jiacheng Xu 001; Greg Durrett (ACL/IJCNLP (1), 2021)

Model Agnostic Answer Reranking System for Adversarial Question Answering. - Sagnik Majumder; Chinmoy Samant; Greg Durrett (EACL (Student Research Workshop), 2021)

Flexible Generation of Natural Language Deductions. - Kaj Bostrom; Xinyu Zhao; Swarat Chaudhuri; Greg Durrett (EMNLP (1), 2021)

Can NLI Models Verify QA Systems' Predictions? - Jifan Chen; Eunsol Choi; Greg Durrett (EMNLP (Findings), 2021)

Optimal Neural Program Synthesis from Multimodal Specifications. - Xi Ye; Qiaochu Chen; Isil Dillig; Greg Durrett (EMNLP (Findings), 2021)

Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. - Xi Ye; Rohan Nair; Greg Durrett (EMNLP (1), 2021)

Robust Question Answering Through Sub-part Alignment. - Jifan Chen; Greg Durrett (NAACL-HLT, 2021)

Did they answer? Subjective acts and intents in conversational discourse. - Elisa Ferracane; Greg Durrett; Junyi Jessy Li; Katrin Erk (NAACL-HLT, 2021)

Annotating and Modeling Fine-grained Factuality in Summarization. - Tanya Goyal; Greg Durrett (NAACL-HLT, 2021)

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. - Yasumasa Onoe; Michael J. Q. Zhang; Eunsol Choi; Greg Durrett (NeurIPS Datasets and Benchmarks, 2021)

Web question answering with neurosymbolic program synthesis. - Qiaochu Chen; Aaron Lamoreaux; Xinyu Wang 006; Greg Durrett; Osbert Bastani; Isil Dillig (PLDI, 2021)

Modeling Fine-Grained Entity Types with Box Embeddings. - Yasumasa Onoe; Michael Boratko; Greg Durrett (CoRR, 2021)

Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. - Xi Ye; Rohan Nair; Greg Durrett (CoRR, 2021)

Flexible Operations for Natural Language Deduction. - Kaj Bostrom; Xinyu Zhao; Swarat Chaudhuri; Greg Durrett (CoRR, 2021)

Making Document-Level Information Extraction Right for the Right Reasons. - Liyan Tang; Dhruv Rajan; Suyash Mohan; Abhijeet Pradhan; R. Nick Bryan; Greg Durrett (CoRR, 2021)

Cross-Lingual Fine-Grained Entity Typing. - Nila Selvaraj; Yasumasa Onoe; Greg Durrett (CoRR, 2021)

Aspect-Oriented Summarization through Query-Focused Extraction. - Ojas Ahuja; Jiacheng Xu 001; Akshay Gupta; Kevin Horecka; Greg Durrett (CoRR, 2021)

Massive-scale Decoding for Text Generation using Lattices. - Jiacheng Xu 001; Greg Durrett (CoRR, 2021)

ASPECTNEWS: Aspect-Oriented Summarization of News Documents. - Ojas Ahuja; Jiacheng Xu 001; Akshay Gupta; Kevin Horecka; Greg Durrett (ACL (1), 2022)

Training Dynamics for Text Summarization Models. - Tanya Goyal; Jiacheng Xu 001; Junyi Jessy Li; Greg Durrett (ACL (Findings), 2022)

Can Explanations Be Useful for Calibrating Black Box Models? - Xi Ye; Greg Durrett (ACL (1), 2022)

EchoGen: Generating Conclusions from Echocardiogram Notes. - Liyan Tang; Shravan Kooragayalu; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Yifan Peng 002 (BioNLP@ACL, 2022)

Natural Language Deduction through Search over Statement Compositions. - Kaj Bostrom; Zayne Sprague; Swarat Chaudhuri; Greg Durrett (EMNLP (Findings), 2022)

Generating Literal and Implied Subquestions to Fact-check Complex Claims. - Jifan Chen; Aniruddh Sriram; Eunsol Choi; Greg Durrett (EMNLP, 2022)

SNaC: Coherence Error Detection for Narrative Summarization. - Tanya Goyal; Junyi Jessy Li; Greg Durrett (EMNLP, 2022)

FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation. - Tanya Goyal; Junyi Jessy Li; Greg Durrett (EMNLP (Demos), 2022)

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. - Wei-Jen Ko; Cutter Dalton; Mark Simmons; Eliza Fisher; Greg Durrett; Junyi Jessy Li (EMNLP, 2022)

Natural Language Deduction with Incomplete Information. - Zayne Sprague; Kaj Bostrom; Swarat Chaudhuri; Greg Durrett (EMNLP, 2022)

Entity Cloze By Date: What LMs Know About Unseen Entities. - Yasumasa Onoe; Michael J. Q. Zhang; Eunsol Choi; Greg Durrett (NAACL-HLT (Findings), 2022)

Massive-scale Decoding for Text Generation using Lattices. - Jiacheng Xu 001; Siddhartha Jonnalagadda; Greg Durrett (NAACL-HLT, 2022)

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning. - Xi Ye; Greg Durrett (NeurIPS, 2022)

Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version). - Benjamin Mariano; Yanju Chen; Yu Feng 001; Greg Durrett; Isil Dillig (CoRR, 2022)

The Unreliability of Explanations in Few-Shot In-Context Learning. - Xi Ye; Greg Durrett (CoRR, 2022)

News Summarization and Evaluation in the Era of GPT-3. - Tanya Goyal; Junyi Jessy Li; Greg Durrett (CoRR, 2022)

Zero-Shot Opinion Summarization with GPT-3. - Adithya Bhaskar; Alexander R. Fabbri; Greg Durrett (CoRR, 2022)

Type-directed synthesis of visualizations from natural language queries. - Qiaochu Chen; Shankara Pailoor; Celeste Barnaby; Abby Criswell; Chenglong Wang; Greg Durrett; Isil Dillig (Proc. ACM Program. Lang., 2022)

Automated transpilation of imperative to functional code using neural-guided program synthesis. - Benjamin Mariano; Yanju Chen; Yu Feng 001; Greg Durrett; Isil Dillig (Proc. ACM Program. Lang., 2022)

Prompted Opinion Summarization with GPT-3.5. - Adithya Bhaskar; Alexander R. Fabbri; Greg Durrett (ACL (Findings), 2023)

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. - Wei-Jen Ko; Yating Wu 002; Cutter Dalton; Dananjay Srinivas; Greg Durrett; Junyi Jessy Li (ACL (Findings), 2023)

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. - Yasumasa Onoe; Michael J. Q. Zhang; Shankar Padmanabhan; Greg Durrett; Eunsol Choi (ACL (1), 2023)

EEL: Efficiently Encoding Lattices for Reranking. - Prasann Singhal; Jiacheng Xu 001; Xi Ye; Greg Durrett (ACL (1), 2023)

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. - Liyan Tang; Tanya Goyal; Alexander R. Fabbri; Philippe Laban; Jiacheng Xu 001; Semih Yavuz; Wojciech Kryscinski; Justin F. Rousseau; Greg Durrett (ACL (1), 2023)

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. - Liyan Tang; Yifan Peng 002; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau (ACL (Findings), 2023)

Complementary Explanations for Effective In-Context Learning. - Xi Ye; Srinivasan Iyer 001; Asli Celikyilmaz; Veselin Stoyanov; Greg Durrett; Ramakanth Pasunuru (ACL (Findings), 2023)

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. - Jarad Forristal; Fatemehsadat Mireshghallah; Greg Durrett; Taylor Berg-Kirkpatrick (CoNLL, 2023)

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. - Ryo Kamoi; Tanya Goyal; Greg Durrett (EACL, 2023)

Modeling Complex Event Scenarios via Simple Entity-focused Questions. - Mahnaz Koupaee; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (EACL, 2023)

Assessing Out-of-Domain Language Model Performance from Few Examples. - Prasann Singhal; Jarad Forristal; Xi Ye; Greg Durrett (EACL, 2023)

SAGEViz: SchemA GEneration and Visualization. - Sugam Devare; Mahnaz Koupaee; Gautham Gunapati; Sayontan Ghosh; Sai Vallurupalli; Yash Kumar Lal; Francis Ferraro; Nathanael Chambers; Greg Durrett; Raymond J. Mooney; Katrin Erk; Niranjan Balasubramanian (EMNLP (Demos), 2023)

WiCE: Real-World Entailment for Claims in Wikipedia. - Ryo Kamoi; Tanya Goyal; Juan Diego Rodriguez; Greg Durrett (EMNLP, 2023)

QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing. - Yating Wu 002; Ritika Mangla; Greg Durrett; Junyi Jessy Li (EMNLP, 2023)

Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. - Xi Ye; Greg Durrett (EMNLP, 2023)

TypeT5: Seq2seq Type Inference using Static Analysis. - Jiayi Wei; Greg Durrett; Isil Dillig (ICLR, 2023)

Propagating Knowledge Updates to LMs Through Distillation. - Shankar Padmanabhan; Yasumasa Onoe; Michael J. Q. Zhang; Greg Durrett; Eunsol Choi (NeurIPS, 2023)

SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. - Xi Ye; Qiaochu Chen; Isil Dillig; Greg Durrett (NeurIPS, 2023)

Explanation Selection Using Unlabeled Data for In-Context Learning. - Xi Ye; Greg Durrett (CoRR, 2023)

Satisfiability-Aided Language Models Using Declarative Prompting. - Xi Ye; Qiaochu Chen; Isil Dillig; Greg Durrett (CoRR, 2023)

Using Natural Language Explanations to Rescale Human Judgments. - Manya Wadhwa; Jifan Chen; Junyi Jessy Li; Greg Durrett (CoRR, 2023)

Drafting Event Schemas using Language Models. - Anisha Gunjal; Greg Durrett (CoRR, 2023)

Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing. - Jiayi Wei; Greg Durrett; Isil Dillig (CoRR, 2023)

Deductive Additivity for Planning of Natural Language Proofs. - Zayne Sprague; Kaj Bostrom; Swarat Chaudhuri; Greg Durrett (CoRR, 2023)

A Long Way to Go: Investigating Length Correlations in RLHF. - Prasann Singhal; Tanya Goyal; Jiacheng Xu 001; Greg Durrett (CoRR, 2023)

Evaluating large language models on medical evidence summarization. - Liyan Tang; Zhaoyi Sun; Betina Ross S. Idnay; Jordan G. Nestor; Ali Soroush; Pierre A. Elias; Ziyang Xu; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Chunhua Weng; Yifan Peng 002 (npj Digit. Medicine, 2023)

Data Extraction via Semantic Regular Expression Synthesis. - Qiaochu Chen; Arko Banerjee; Çagatay Demiralp; Greg Durrett; Isil Dillig (Proc. ACM Program. Lang., 2023)

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. - Abhishek Divekar; Greg Durrett (EMNLP, 2024)

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. - Anisha Gunjal; Greg Durrett (EMNLP (Findings), 2024)

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. - Liyan Tang; Philippe Laban; Greg Durrett (EMNLP, 2024)

Learning to Refine with Fine-Grained Natural Language Feedback. - Manya Wadhwa; Xinyu Zhao; Junyi Jessy Li; Greg Durrett (EMNLP (Findings), 2024)

Which questions should I answer? Salience Prediction of Inquisitive Questions. - Yating Wu 002; Ritika Mangla; Alex Dimakis; Greg Durrett; Junyi Jessy Li (EMNLP, 2024)

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. - Zayne Sprague; Xi Ye; Kaj Bostrom; Swarat Chaudhuri; Greg Durrett (ICLR, 2024)

Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. - Jiayi Wei; Greg Durrett; Isil Dillig (ICLR, 2024)

Complex Claim Verification with Evidence Retrieved in the Wild. - Jifan Chen; Grace Kim; Aniruddh Sriram; Greg Durrett; Eunsol Choi (NAACL-HLT, 2024)

X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. - Juan Diego Rodriguez; Katrin Erk; Greg Durrett (NAACL-HLT, 2024)

LoFiT: Localized Fine-tuning on LLM Representations. - Fangcong Yin; Xi Ye; Greg Durrett (NeurIPS, 2024)

D2PO: Discriminator-Guided DPO with Response Evaluation Models. - Prasann Singhal; Nathan Lambert 001; Scott Niekum; Tanya Goyal; Greg Durrett (CoRR, 2024)

CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. - Zeyu Leo Liu; Shrey Pandit; Xi Ye; Eunsol Choi; Greg Durrett (CoRR, 2024)

Contrastive Learning to Improve Retrieval for Real-world Fact Checking. - Aniruddh Sriram; Fangyuan Xu; Eunsol Choi; Greg Durrett (CoRR, 2024)

Understanding Synthetic Context Extension via Retrieval Heads. - Xinyu Zhao; Fangcong Yin; Greg Durrett (CoRR, 2024)

Causal Graph based Event Reasoning using Semantic Relation Experts. - Mahnaz Koupaee; Xueying Bai; Mudan Chen; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (ACL (1), 2025)

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. - Zayne Rea Sprague; Fangcong Yin; Juan Diego Rodriguez; Dongwei Jiang; Manya Wadhwa; Prasann Singhal; Xinyu Zhao; Xi Ye; Kyle Mahowald; Greg Durrett (ICLR, 2025)

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. - Thom Lake; Eunsol Choi; Greg Durrett (NAACL (Long Papers), 2025)

LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation. - Xi Ye; Fangcong Yin; Yinghui He; Joie Zhang; Howard Yen; Tianyu Gao 001; Greg Durrett; Danqi Chen 001 (CoRR, 2025)

ProofWala: Multilingual Proof Data Synthesis and Theorem-Proving. - Amitayush Thakur; George Tsoukalas; Greg Durrett; Swarat Chaudhuri (CoRR, 2025)

Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. - Melanie Subbiah; Akankshya Mishra; Grace Kim; Liyan Tang; Greg Durrett; Kathleen McKeown (CoRR, 2025)

QUDsim: Quantifying Discourse Similarities in LLM-Generated Text. - Ramya Namuduri; Yating Wu; Anshun Asher Zheng; Manya Wadhwa; Greg Durrett; Junyi Jessy Li (CoRR, 2025)

RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models. - Juan Diego Rodriguez; Wenxuan Ding 003; Katrin Erk; Greg Durrett (CoRR, 2025)

Pairwise or Pointwise? Evaluating Feedback Protocols for Bias in LLM-Based Evaluation. - Tuhina Tripathi; Manya Wadhwa; Greg Durrett; Scott Niekum (CoRR, 2025)

EvalAgent: Discovering Implicit Evaluation Criteria from the Web. - Manya Wadhwa; Zayne Sprague; Chaitanya Malaviya; Philippe Laban; Junyi Jessy Li; Greg Durrett (CoRR, 2025)

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation. - Anirudh Khatry; Robert Zhang; Jia Pan; Ziteng Wang; Qiaochu Chen; Greg Durrett; Isil Dillig (CoRR, 2025)

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models. - Liyan Tang; Grace Kim; Xinyu Zhao; Thom Lake; Wenxuan Ding 003; Fangcong Yin; Prasann Singhal; Manya Wadhwa; Zeyu Leo Liu; Zayne Sprague; Ramya Namuduri; Bodun Hu; et al. (CoRR, 2025)

CLEVER: A Curated Benchmark for Formally Verified Code Generation. - Amitayush Thakur; Jasper Lee; George Tsoukalas; Meghana Sistla; Matthew Zhao; Stefan Zetzsche; Greg Durrett; Yisong Yue; Swarat Chaudhuri (CoRR, 2025)

AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy. - Sebastian Antony Joseph; Syed Murtaza Husain; Stella S. R. Offner; Stéphanie Juneau; Paul Torrey; Adam S. Bolton; Juan P. Farias; Niall Gaffney; Greg Durrett; Junyi Jessy Li (CoRR, 2025)

Learning Composable Chains-of-Thought. - Fangcong Yin; Zeyu Leo Liu; Liu Leqi; Xi Ye; Greg Durrett (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat. - Yuru Jiang; Wenxuan Ding 001; Shangbin Feng; Greg Durrett; Yulia Tsvetkov (CoRR, 2025)

PropMEND: Hypernetworks for Knowledge Propagation in LLMs. - Zeyu Leo Liu; Greg Durrett; Eunsol Choi (CoRR, 2025)

Report on NSF Workshop on Science of Safe AI. - Rajeev Alur; Greg Durrett; Hadas Kress-Gazit; Corina S. Pasareanu; René Vidal (CoRR, 2025)