Yifei Li

Affiliations:
  • Ohio State University, Columbus, OH, USA


According to our database1, Yifei Li authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery.
CoRR, April, 2026

2025
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
TableLlama: Towards Open Large Generalist Models for Tables.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

AttributionBench: How Hard is Automatic Attribution Evaluation?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
CoRR, 2023

Making Language Models Better Reasoners with Step-Aware Verifier.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Exploiting high-order local and global user-item interactions for effective recommendation.
Knowl. Based Syst., 2022

On the Advance of Making Language Models Better Reasoners.
CoRR, 2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models.
CoRR, 2022


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