Yinya Huang

Yinya Huang

Yinya Huang is a Postdoc Fellow at ETH AI Center, ETH Zürich, working with Prof. Mrinmaya Sachan and Prof. Elliot Ash. She received her Ph.D. Degree in Computer Science from Sun Yat-sen University, advised by Prof. Xiaodan Liang and Prof. Liang Lin. Her research focuses on models’ system 2 thinking, especially incorporating formal systems and methods into LLM methods for mathematical, logical, and causal reasoning. She is also interested in applicational scenarios such as industrial optimization problems and automated research assistants. She has published papers in TPAMI, ICLR, ACL, EMNLP, NAACL, AAAI, and so forth. She won the 2023 SAAI Outstanding Doctoral Dissertation Award and the 2024 ACM SIGCSE China Excellent Doctoral Dissertation Award. She serves as an area chair for ACL ARR, a program committee member for ICML, ICLR, NeurIPS, ACL, EMNLP, and AAAI, and a reviewer for TNNLS and JAIR. She is also the primary organizer for the ICML AI for Math Workshop Series (2024, 2025).

News

All Publications

Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang (2025). OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling. The Thirteenth International Conference on Learning Representations (ICLR 2025).

PDF Cite URL Code

Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo (2025). FormalAlign: Automated Alignment Evaluation for Autoformalization. The Thirteenth International Conference on Learning Representations (ICLR 2025).

PDF Cite URL Code

Xiaohan Lin, Qingxing Cao, Yinya Huang, Haiming Wang, Jianqiao Lu, Zhengying Liu, Linqi Song, Xiaodan Liang (2024). FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving. The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2024 D&B Track).

PDF Cite URL Data Code

Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang (2024). Proving Theorems Recursively. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).

PDF Cite URL Code

Jianqiao Lu, Zhengying Liu, Yingjia Wan, Yinya Huang, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo (2024). Process-Driven Autoformalization in Lean 4. arXiv preprint arXiv:2406.01940.

PDF Cite URL Code

Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, Zhijiang Guo (2024). AUTOCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation. arXiv preprint arXiv:2405.16802.

PDF Cite URL Code

Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song (2024). CLOMO: Counterfactual Logical Modification with Large Language Models. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

PDF Cite URL Data Code

Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang (2024). ATG: Benchmarking Automated Theorem Generation for Generative Language Models. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024 Findings).

PDF Cite URL Data Leaderboard

Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang (2024). MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. The Twelfth International Conference on Learning Representations (ICLR 2024).

PDF Cite URL Code Coverage Slides Poster

Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang (2024). LEGO-Prover: Neural Theorem Proving with Growing Libraries. The Twelfth International Conference on Learning Representations (ICLR 2024).

PDF Cite URL Code Coverage

Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang (2024). AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Findings).

PDF Cite URL Code

Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song (2023). Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. arXiv preprint arXiv:2312.16018.

PDF Cite URL

Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song (2023). RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. arXiv preprint arXiv:2312.16018.

PDF Cite URL

Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu (2023). TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Sentosa, Singapore, December 6-10, 2023.

PDF Cite DOI URL Code

Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang (2023). Discourse-Aware Graph Networks for Textual Logical Reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

PDF Cite DOI URL

Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu (2022). MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, December 7-11, 2022.

PDF Cite DOI URL Code

Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang (2022). REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Virtual Event, February 2-9, 2021.

PDF Cite DOI URL Code

Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang (2021). DAGN: Discourse-Aware Graph Network for Logical Reasoning. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2021), Online, June 6-11, 2021.

PDF Cite DOI URL Code

Xunlin Zhan, Yinya Huang, Xiao Dong, Qingxing Cao, Xiaodan Liang (2021). PathReasoner: Explainable reasoning paths for commonsense question answering. Knowledge Based System (KBS).

PDF Cite DOI URL

Professional Service

Workshops:

Area Chair:

Program Committee Member:

  • ICML (2025)
  • ICLR (2025, 2024)
  • NeurIPS (2024, 2023)
  • ACL (2024, 2023)
  • EMNLP (2024, 2023, 2022)
  • NAACL (2024)
  • COLM (2024)
  • COLING (2020)
  • ACM MM (2024)
  • IJCAI (2024)
  • ICLR Workshop (2021)

Journal Reviewer:

Awards