SMART: A Stratified Machine Reading Test. - Jiarui Yao; Minxuan Feng; Haixia Feng; Zhiguo Wang; Yuchen Zhang; Nianwen Xue (NLPCC (1), 2019)

Annotating Temporal Dependency Graphs via Crowdsourcing. - Jiarui Yao; Haoling Qiu; Bonan Min; Nianwen Xue (EMNLP (1), 2020)

Factuality Assessment as Modal Dependency Parsing. - Jiarui Yao; Haoling Qiu; Jin Zhao; Bonan Min; Nianwen Xue (ACL/IJCNLP (1), 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 001; Chu-Ren Huang; Jan Hajic; James H. Martin; et al. (Künstliche Intell., 2021)

Modal Dependency Parsing via Language Model Priming. - Jiarui Yao; Nianwen Xue; Bonan Min (NAACL-HLT, 2022)

Textual Entailment for Temporal Dependency Graph Parsing. - Jiarui Yao; Steven Bethard; Kristin Wright-Bettner; Eli Goldner; David Harris 004; Guergana Savova (ClinicalNLP@ACL, 2023)

Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction. - Jiarui Yao; Harry Hochheiser; Wonjin Yoon; Eli Goldner; Guergana Savova (ClinicalNLP@NAACL, 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 (ICMVA, 2024)

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. - Yuancheng Xu; Jiarui Yao; Manli Shu; Yanchao Sun; Zichu Wu; Ning Yu 006; Tom Goldstein; Furong Huang (NeurIPS, 2024)

EscapeBench: Pushing Language Models to Think Outside the Box. - Cheng Qian 008; Peixuan Han; Qinyu Luo; Bingxiang He; Xiusi Chen; Yuji Zhang 002; Hongyi Du; Jiarui Yao; Xiaocheng Yang; Denghui Zhang; Yunzhu Li; Heng Ji 001 (CoRR, 2024)

EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents. - Cheng Qian 008; Peixuan Han; Qinyu Luo; Bingxiang He; Xiusi Chen; Yuji Zhang 002; Hongyi Du; Jiarui Yao; Xiaocheng Yang; Denghui Zhang; Yunzhu Li; Heng Ji 001 (ACL (1), 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 (ACL (Findings), 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; et al. (Genom. Proteom. Bioinform., 2025)

Rethinking Diverse Human Preference Learning through Principal Component Analysis. - Feng Luo; Rui Yang 010; Hao Sun; Chunyuan Deng; Jiarui Yao; Jingyan Shen; Huan Zhang 001; Hanjie Chen (CoRR, 2025)

FANS - Formal Answer Selection for Natural Language Math Reasoning Using Lean4. - Jiarui Yao; Ruida Wang; Tong Zhang (CoRR, 2025)

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce. - Wei Xiong 015; Jiarui Yao; Yuhui Xu; Bo Pang 004; Lei Wang 185; Doyen Sahoo; Junnan Li 001; Nan Jiang 008; Tong Zhang 001; Caiming Xiong; Hanze Dong (CoRR, 2025)

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL. - Jiarui Yao; Yifan Hao 002; Hanning Zhang; Hanze Dong; Wei Xiong 015; Nan Jiang 008; Tong Zhang 001 (CoRR, 2025)

MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning. - Jingyan Shen; Jiarui Yao; Rui Yang 010; Yifan Sun; Feng Luo; Rui Pan 002; Tong Zhang 001; Han Zhao 002 (CoRR, 2025)

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models. - Zihan Wang 008; Rui Pan 002; Jiarui Yao; Robert Csordas; Linjie Li; Lu Yin; Jiajun Wu 001; Tong Zhang 001; Manling Li; Shiwei Liu (CoRR, 2025)

Why is Your Language Model a Poor Implicit Reward Model? - Noam Razin; Yong Lin; Jiarui Yao; Sanjeev Arora (CoRR, 2025)