Durrett, Greg

19 publications

NeurIPS 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

NeurIPS 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

NeurIPS 2025 ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa, Zeyu Leo Liu, Zayne Rea Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, Greg Durrett

NeurIPS 2025 Sparta Alignment: Collectively Aligning Multiple Language Models Through Combat Yuru Jiang, Wenxuan Ding, Shangbin Feng, Greg Durrett, Yulia Tsvetkov

ICLR 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

ICML 2025 Understanding Synthetic Context Extension via Retrieval Heads Xinyu Zhao, Fangcong Yin, Greg Durrett

ICLR 2024 Coeditor: Leveraging Repo-Level Diffs for Code Auto-Editing Jiayi Wei, Greg Durrett, Isil Dillig

NeurIPSW 2024 From Distributional to Overton Pluralism: Investigating Large Language Model Alignment Thom Lake, Eunsol Choi, Greg Durrett

NeurIPS 2024 LoFiT: Localized Fine-Tuning on LLM Representations Fangcong Yin, Xi Ye, Greg Durrett

NeurIPSW 2024 LoFiT: Localized Fine-Tuning on LLM Representations Fangcong Yin, Xi Ye, Greg Durrett

ICLR 2024 MuSR: Testing the Limits of Chain-of-Thought with Multistep Soft Reasoning Zayne Rea Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

NeurIPS 2023 Propagating Knowledge Updates to LMs Through Distillation Shankar Padmanabhan, Yasumasa Onoe, Michael Zhang, Greg Durrett, Eunsol Choi

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

NeurIPSW 2023 SatLM: Satisfiability-Aided Language Models Using Declarative Prompting Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett

ICLR 2023 TypeT5: Seq2seq Type Inference Using Static Analysis Jiayi Wei, Greg Durrett, Isil Dillig

NeurIPS 2022 The Unreliability of Explanations in Few-Shot Prompting for Textual Reasoning Xi Ye, Greg Durrett

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

ICLR 2020 LambdaNet: Probabilistic Type Inference Using Graph Neural Networks Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig

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