Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning. - Ruosen Li; Xinya Du (EMNLP (Findings), 2023)

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Mengzhao Jia; Xinya Du (CoRR, 2023)

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Xinya Du (EMNLP (Findings), 2024)

IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering. - Ruosen Li; Ruochen Li; Barry Wang; Xinya Du (NeurIPS, 2024)

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations. - Ruosen Li; Zimu Wang; Son Quoc Tran; Lei Xia 004; Xinya Du (NeurIPS, 2024)

Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning. - Ruosen Li; Ziming Luo; Xinya Du (CoRR, 2024)

PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations. - Ruosen Li; Teerth Patel; Xinya Du (Trans. Mach. Learn. Res., 2024)

Multimodal Reference Visual Grounding. - Yangxiao Lu; Ruosen Li; Liqiang Jing; Jikai Wang; Xinya Du; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (CoRR, 2025)

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control. - Ruosen Li; Ziming Luo; Quan Zhang; Ruochen Li; Ben Zhou; Ali Payani; Xinya Du (CoRR, 2025)

R-Zero: Self-Evolving Reasoning LLM from Zero Data. - Chengsong Huang; Wenhao Yu 002; Xiaoyang Wang; Hongming Zhang 009; Zongxia Li; Ruosen Li; Jiaxin Huang; Haitao Mi; Dong Yu 001 (CoRR, 2025)