Linguistic Compression in Single-Sentence Human-Written Summaries. - Fangcong Yin; Marten van Schijndel (EMNLP (Findings), 2023)

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

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

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)

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)

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)

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

Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models. - Femi Bello; Anubrata Das 001; Fanzhi Zeng; Fangcong Yin; Liu Leqi (CoRR, 2025)

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking. - Wuwei Zhang; Fangcong Yin; Howard Yen; Danqi Chen 001; Xi Ye (CoRR, 2025)