| 2026 | ACL | Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning. | Hanbing Liu, Lang Cao, Yuanyi Ren, Mengyu Zhou, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang |
| 2025 | AAAI | Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models. | Haoran Ye, Yuhang Xie, Yuanyi Ren, Hanjun Fang, Xin Zhang, Guojie Song |
| 2025 | ACL | Large Language Models for Predictive Analysis: How Far Are They? | Qin Chen, Yuanyi Ren, Xiaojun Ma, Yuyang Shi |
| 2025 | ACL | Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models. | Haoran Ye, Tianze Zhang, Yuhang Xie, Liyuan Zhang, Yuanyi Ren, Xin Zhang, Guojie Song |
| 2025 | EMNLP | SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection. | Qin Chen, Yuanyi Ren, Xiaojun Ma, Mugeng Liu, Shi Han, Dongmei Zhang |
| 2024 | ACL | ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models. | Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song |
| 2023 | CIKM | Dual-Process Graph Neural Network for Diversified Recommendation. | Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao |
| 2022 | WWW | Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. | Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang |