Jiarui Yao

According to our database, Jiarui Yao authored at least 26 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

AgentSPEX: An Agent SPecification and EXecution Language.

Pengcheng Wang, Jerry Huang, Jiarui Yao, Rui Pan, Peizhi Niu, Yaowenqi Liu, Ruida Wang, Renhao Lu, Yuwei Guo, Tong Zhang

CoRR, April, 2026

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models.

Haitao Jiang, Wenbo Zhang, Jiarui Yao, Hengrui Cai, Sheng Wang, Rui Song

CoRR, March, 2026

PRL: Process Reward Learning Improves LLMs' Reasoning Ability and Broadens the Reasoning Boundary.

Jiarui Yao, Ruida Wang, Tong Zhang

CoRR, January, 2026

2025

ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning.

Hanyang Chen, Mark Zhao, Rui Yang, Qinwei Ma, Ke Yang, Jiarui Yao, Kangrui Wang, Hao Bai, Zhenhailong Wang, Rui Pan, Mengchao Zhang, Jose A. Barreiros, Aykut Özgün Önol, ChengXiang Zhai, Heng Ji, Manling Li, Huan Zhang, Tong Zhang

CoRR, October, 2025

GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving.

Ruida Wang, Jiarui Yao, Rui Pan, Shizhe Diao, Tong Zhang

CoRR, October, 2025

Why is Your Language Model a Poor Implicit Reward Model?

Noam Razin, Yong Lin, Jiarui Yao, Sanjeev Arora

CoRR, July, 2025

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models.

Zihan Wang, Rui Pan, Jiarui Yao, Robert Csordas, Linjie Li, Lu Yin, Jiajun Wu, Tong Zhang, Manling Li, Shiwei Liu

CoRR, June, 2025

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL.

Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang

CoRR, May, 2025

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce.

Wei Xiong, Jiarui Yao, Yuhui Xu, Bo Pang, Lei Wang, Doyen Sahoo, Junnan Li, Nan Jiang, Tong Zhang, Caiming Xiong, Hanze Dong

CoRR, April, 2025

FANS - Formal Answer Selection for Natural Language Math Reasoning Using Lean4.

Jiarui Yao, Ruida Wang, Tong Zhang

CoRR, March, 2025

Rethinking Diverse Human Preference Learning through Principal Component Analysis.

Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen

CoRR, February, 2025

A Novel IgG-IgM Autoantibody Panel Enhances Detection of Early-stage Lung Adenocarcinoma from Benign Nodules.

Rongrong Luo, Xiying Li, Ruyun Gao, Mengwei Yang, Juan Cai, Liyuan Dai, Nin Lou, Guangyu Fan, Haohua Zhu, Shasha Wang, Zhishang Zhang, Le Tang, Jiarui Yao, Di Wu, Yuankai Shi, Xiaohong Han

Genom. Proteom. Bioinform., 2025

FANS: Formal Answer Selection for LLM Natural Language Math Reasoning Using Lean4.

Jiarui Yao, Ruida Wang, Tong Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning.

Jingyan Shen, Jiarui Yao, Rui Yang, Yifan Sun, Feng Luo, Rui Pan, Tong Zhang, Han Zhao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Rethinking Diverse Human Preference Learning through Principal Component Analysis.

Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents.

Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

EscapeBench: Pushing Language Models to Think Outside the Box.

Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji

CoRR, 2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.

Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

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

Research on Engineering Management Question-answering System in the Communication Industry Based on Large Language Models and Knowledge Graphs.

Yingdi Jiang, Jiarui Yao, Fangfei Li, Yan Zhang

Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction.

Jiarui Yao, Harry Hochheiser, Wonjin Yoon, Eli Goldner, Guergana Savova

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Textual Entailment for Temporal Dependency Graph Parsing.

Jiarui Yao, Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David Harris, Guergana Savova

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Modal Dependency Parsing via Language Model Priming.

Jiarui Yao, Nianwen Xue, Bonan Min

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Designing a Uniform Meaning Representation for Natural Language Processing.

Jens E. L. Van Gysel, Meagan Vigus, Jayeol Chun, Kenneth Lai, Sarah R. Moeller, Jiarui Yao, Tim O'Gorman, Andrew Cowell, William Croft, Chu-Ren Huang, Jan Hajic, James H. Martin, Stephan Oepen, Martha Palmer, James Pustejovsky, Rosa Vallejos, Nianwen Xue

Künstliche Intell., 2021

Factuality Assessment as Modal Dependency Parsing.

Jiarui Yao, Haoling Qiu, Jin Zhao, Bonan Min, Nianwen Xue

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Annotating Temporal Dependency Graphs via Crowdsourcing.

Jiarui Yao, Haoling Qiu, Bonan Min, Nianwen Xue

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

SMART: A Stratified Machine Reading Test.

Jiarui Yao, Minxuan Feng, Haixia Feng, Zhiguo Wang, Yuchen Zhang, Nianwen Xue

Proceedings of the Natural Language Processing and Chinese Computing, 2019