Fangcong Yin

According to our database, Fangcong Yin authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking.

Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye

CoRR, June, 2025

Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models.

Femi Bello, Anubrata Das, Fanzhi Zeng, Fangcong Yin, Liu Leqi

CoRR, June, 2025

Learning Composable Chains-of-Thought.

Fangcong Yin, Zeyu Leo Liu, Liu Leqi, Xi Ye, Greg Durrett

CoRR, May, 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 Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, Greg Durrett

CoRR, May, 2025

LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation.

Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, Danqi Chen

CoRR, January, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Understanding Synthetic Context Extension via Retrieval Heads.

Xinyu Zhao, Fangcong Yin, Greg Durrett

CoRR, 2024

LoFiT: Localized Fine-tuning on LLM Representations.

Fangcong Yin, Xi Ye, Greg Durrett

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Linguistic Compression in Single-Sentence Human-Written Summaries.

Fangcong Yin, Marten van Schijndel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023