Bio

I’m a first-year Ph.D. student at The Ohio State University, proudly advised by Prof. Huan Sun. My recent research interests focus on enhancing the reasoning ability and faithfulness of large language models. Previously, I received my Master’s degree from Peking University in 2023 and Bachelor’s degree from Northeastern University (China) in 2020.

News

• [04/2024] Our paper TableLlama got accepted by NAACL 2024 Oral 🔥 (145/2434=6.0%)!
• [03/2024] Our paper TableLlama got accepted by NAACL 2024 (565/2434=23.2%)!

Preprints

• [arXiv 2024] AttributionBench: How Hard is Automatic Attribution Evaluation?
  Yifei Li$^*$, Xiang Yue, Zeyi Liao, Huan Sun
  [pdf] [code] [data] [website]
• [arXiv 2023] Math-Shepherd: A Label-Free Step-by-Step Verifier for LLMs in Mathematical Reasoning
  Peiyi Wang*, Lei Li, Zhihong Shao, RX Xu, Damai Dai, Yifei Li, Deli Chen, Y Wu, Zhifang Sui
  [pdf] [data] [model] [website]
• [arxiv 2022] Input-tuning: Adapting unfamiliar inputs to frozen pretrained models
  Shengnan An$^*$, Yifei Li$^*$, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou
  [pdf]

Publications

Conference Papers

• [NAACL 2024 (long)] TableLlama: Towards Open Large Generalist Models for Tables
  Tianshu Zhang$^*$, Xiang Yue, Yifei Li, Huan Sun
  [pdf] [code] [data] [model] [website]
• [ACL 2023 (long)] Making language models better reasoners with step-aware verifier
  Yifei Li$^*$, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
  [pdf] [code] [data] [poster] [video]

Journal Papers

• [KBS 2022] Exploiting high-order local and global user–item interactions for effective recommendation
• Sheng Tian$^*$, Guibing Guo, Yifei Li, Yuan Liu, Xingwei Wang
  [pdf]