Xiaoyuan Li

According to our database, Xiaoyuan Li authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning.

Xiaoyuan Li, Keqin Bao, Moxin Li, Yubo Ma, Yichang Zhang, Wenjie Wang, Fuli Feng, Dayiheng Liu

CoRR, May, 2026

Unified Data Selection for LLM Reasoning.

Xiaoyuan Li, Yubo Ma, Chengpeng Li, Fengbin Zhu, Yiyao Yu, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu

CoRR, May, 2026

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs.

Xiaoyuan Li, Moxin Li, Keqin Bao, Yubo Ma, Wenjie Wang, Dayiheng Liu, Fuli Feng

CoRR, May, 2026

SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation.

Xiaoyuan Li, Yuzhe Wang, Moxin Li, Keqin Bao, Rui Men, Yichang Zhang, Dayiheng Liu, Wenjie Wang, Fuli Feng

CoRR, May, 2026

On Predicting the Post-training Potential of Pre-trained LLMs.

Xiaoyuan Li, Yubo Ma, Kexin Yang, Moxin Li, Keqin Bao, Wenie Wang, Fuli Feng, Dayiheng Liu

CoRR, May, 2026

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation.

Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning.

Xiaoyuan Li, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu, Junyang Lin

CoRR, July, 2025

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code.

Keqin Bao, Nuo Chen, Xiaoyuan Li, Binyuan Hui, Bowen Yu, Fuli Feng, Xiangnan He, Dayiheng Liu

CoRR, July, 2025

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation.

Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu, Junyang Lin

CoRR, May, 2025

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning.

Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin

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

2024

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Boomerang: Metadata-Private Messaging under Hardware Trust.

Peipei Jiang, Qian Wang, Jianhao Cheng, Cong Wang, Lei Xu, Xinyu Wang, Yihao Wu, Xiaoyuan Li, Kui Ren

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023