Fangcong Yin, Zeyu Leo Liu, Liu Leqi, Xi Ye, and Greg Durrett. Learning Composable Chains-of-Thought, Preprint.

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

Femi Bello, Anubrata Das, Fanzhi Zeng, Fangcong Yin, and Liu Leqi. Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models, Preprint.

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

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

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

Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, and Greg Durrett. 2025. To CoT or not to CoT? Chain-of-thought Helps Mainly on Math and Symbolic Reasoning, Proceedings of ICLR 2025.

Fangcong Yin, Xi Ye, and Greg Durrett. 2024. LoFiT: Localized Fine-tuning on LLM Representations, Proceedings of NeurIPS 2024.

Fangcong Yin and Marten van Schijndel. 2023. Linguistic Compression in Single-Sentence Human-Written Summaries, Findings of the Conference on Empirical Methods for Natural Language Processing (EMNLP).