Bo Wang

According to our database, Bo Wang authored at least 18 papers between 2024 and 2026.

Collaborative distances:

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

2026

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping.

Yang Liu, Enxi Wang, Yufei Gao, Weixin Zhang, Bo Wang, Zhiyuan Zeng, Yikai Zhang, Yining Zheng, Xipeng Qiu

CoRR, April, 2026

BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning.

Yuan Li, Bo Wang, Yufei Gao, Yuqian Yao, Xinyuan Wang, Zhangyue Yin, Xipeng Qiu

CoRR, March, 2026

Explicit Multi-head Attention for Inter-head Interaction in Large Language Models.

Runyu Peng, Yunhua Zhou, Demin Song, Kai Lv, Bo Wang, Qipeng Guo, Xipeng Qiu

CoRR, January, 2026

TL-GRPO: Turn-Level RL for Reasoning-Guided Iterative Optimization.

Peiji Li, Linyang Li, Handa Sun, Wenjin Mai, Yongkang Chen, Xiaozhe Li, Yue Shen, Yichuan Ma, Yiliu Sun, Jiaxi Cao, Zhishu He, Bo Wang, Xiaoqing Zheng, Zhaori Bi, Xipeng Qiu, Qipeng Guo, Kai Chen, Dahua Lin

CoRR, January, 2026

ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development.

Jie Yang, Honglin Guo, Li Ji, Jiazheng Zhou, Rui Zheng, Zhikai Lei, Shuo Zhang, Zhiheng Xi, Shichun Liu, Yuxin Wang, Bo Wang, Yining Zheng, Tao Gui, Xipeng Qiu

CoRR, January, 2026

Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model.

Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng, Leszek Rutkowski, Qi Zhang, Liang Ding, Dacheng Tao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multi-hop Reasoning via Early Knowledge Alignment.

Yuxin Wang, Shicheng Fang, Bo Wang, Qi Luo, Xuanjing Huang, Yining Zheng, Xipeng Qiu

CoRR, December, 2025

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections.

Bo Wang, Qinyuan Cheng, Runyu Peng, Rong Bao, Peiji Li, Qipeng Guo, Linyang Li, Zhiyuan Zeng, Yunhua Zhou, Xipeng Qiu

CoRR, July, 2025

MOSS-MED: A Family of Multimodal Models Serving Medical Image Analysis.

Junqi Dai, Qin Zhu, Jun Zhan, Bo Wang, Xipeng Qiu

ACM Trans. Manag. Inf. Syst., 2025

BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments.

Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning.

Le Zhang, Bo Wang, Xipeng Qiu, Siva Reddy, Aishwarya Agrawal

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

R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning.

Yuan Li, Qi Luo, Xiaonan Li, Bufan Li, Qinyuan Cheng, Bo Wang, Yining Zheng, Yuxin Wang, Zhangyue Yin, Xipeng Qiu

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

2024

Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.

Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, Bo Wang, Shimin Li, Yunhua Zhou, Qipeng Guo, Xuanjing Huang, Xipeng Qiu

CoRR, 2024

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Zhe Chen, Weiyun Wang, Yue Cao, Yangzhou Liu, Zhangwei Gao, Erfei Cui, Jinguo Zhu, Shenglong Ye, Hao Tian, Zhaoyang Liu, Lixin Gu, Xuehui Wang, Qingyun Li, Yimin Ren, Zixuan Chen, Jiapeng Luo, Jiahao Wang, Tan Jiang, Bo Wang, Conghui He, Botian Shi, Xingcheng Zhang, Han Lv, Yi Wang, Wenqi Shao, Pei Chu, Zhongying Tu, Tong He, Zhiyong Wu, Huipeng Deng, Jiaye Ge, Kai Chen, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang

CoRR, 2024

BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments.

Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu

CoRR, 2024

Aligning Large Language Models from Self-Reference AI Feedback with one General Principle.

Rong Bao, Rui Zheng, Shihan Dou, Xiao Wang, Enyu Zhou, Bo Wang, Qi Zhang, Liang Ding, Dacheng Tao

CoRR, 2024

In-Memory Learning: A Declarative Learning Framework for Large Language Models.

Bo Wang, Tianxiang Sun, Hang Yan, Siyin Wang, Qingyuan Cheng, Xipeng Qiu

CoRR, 2024

Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk.

Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024