Bei Li

31 papers at tracked venues · 21 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ACL ×11 EMNLP ×9 AAAI ×5 ICLR ×2 NeurIPS ×2 ACSAC ×1 ICML ×1

Frequent coauthors

JingBo Zhu

×21

Tong Xiao

×21

Jingang Wang

×10

Chenglong Wang

×10

Yongyu Mu

×9

Xunliang Cai

×6

Tongran Liu

×6

Murun Yang

×5

Chunliang Zhang

×5

Tong Zheng

×5

Hang Zhou

×4

Yifu Huo

×4

Papers

BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search
ACL 2026 ·
Shiyu Liu
,
Yongjing Yin
,
Jianhao Yan
,
Yunbo Tang
,
Qinggang Zhang
, Bei Li,
Xin Chen
,
Jingang Wang
,
Xunliang Cai
,
Jinsong Su
GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
AAAI 2026 ·
Chenglong Wang
,
Yongyu Mu
,
Hang Zhou
,
Yifu Huo
,
Ziming Zhu
,
Jiali Zeng
,
Murun Yang
, Bei Li,
Xiaoyang Hao
,
Chunliang Zhang
,
Fandong Meng
,
Jingbo Zhu
,
Tong Xiao
LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
ACL 2026 ·
Yuchun Fan
, Bei Li,
Peiguang Li
,
Yilin Wang
,
Yongyu Mu
,
Jian Yang
,
Xin Chen
,
Rongxiang Weng
,
Jingang Wang
,
Xunliang Cai
,
JingBo Zhu
,
Tong Xiao
MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks
ACL 2026 ·
Junhao Ruan
,
Abudukeyumu Abudula
, Bei Li,
Yongjing Yin
,
Xinyu Liu
,
Kechen Jiao
,
Xin Chen
,
Jingang Wang
,
Xunliang Cai
,
Tong Xiao
,
Jingbo Zhu
NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs
ACL 2026 ·
Yingfeng Luo
,
Ziqiang Xu
,
Yuxuan Ouyang
,
Murun Yang
,
Dingyang Lin
,
Kaiyan Chang
,
Tong Zheng
, Bei Li,
Peinan Feng
,
Quan Du
,
Tong Xiao
,
Jingbo Zhu
On the Emotion Understanding of Synthesized Speech
ACL 2026 ·
Yuan Ge
,
Haishu Zhao
,
Aokai Hao
,
Junxiang Zhang
, Bei Li,
Xiaoqian Liu
,
Chenglong Wang
,
Jianjin Wang
,
Bingsen Zhou
,
Bingyu Liu
,
JingBo Zhu
,
Zhengtao Yu
,
Tong Xiao
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
AAAI 2026 ·
Chenglong Wang
,
Yifu Huo
,
Yang Gan
,
Yongyu Mu
,
Qiaozhi He
,
Murun Yang
, Bei Li,
Chunliang Zhang
,
Tongran Liu
,
Anxiang Ma
,
Zhengtao Yu
,
Jingbo Zhu
,
Tong Xiao
RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment
ACL 2026 ·
Yingfeng Luo
,
Hongyu Liu
,
Dingyang Lin
,
Kaiyan Chang
,
Chenglong Wang
, Bei Li,
Quan Du
,
Tong Xiao
,
JingBo Zhu
SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
AAAI 2026 ·
Yuan Ge
,
Junxiang Zhang
,
Xiaoqian Liu
, Bei Li,
Xiangnan Ma
,
Chenglong Wang
,
Kaiyang Ye
,
Yangfan Du
,
Linfeng Zhang
,
Yuxin Huang
,
Tong Xiao
,
Zhengtao Yu
,
Jingbo Zhu
Tuning Medical Foundation Models for Inner Ear Temporal CT Analysis with Plug-and-play Domain Knowledge Aggregator
AAAI 2026 ·
Weixun Wan
,
Xinyang Jiang
,
Zilong Wang
, Bei Li,
Cairong Zhao
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
ACL 2025 ·
Yingfeng Luo
,
Tong Zheng
,
Yongyu Mu
, Bei Li,
Qinghong Zhang
,
Yongqi Gao
,
Ziqiang Xu
,
Peinan Feng
,
Xiaoqian Liu
,
Tong Xiao
,
JingBo Zhu
CAUA: A Realistic and Effective Attack on Machine Unlearning Under Limited Information
ACSAC 2025 ·
Jing Zhang
,
Yichen Zhang
,
Jie Cui
,
Xianfeng Xie
,
Chunyang Fan
, Bei Li
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
ICLR 2025 ·
Ruichen Shao
, Bei Li,
Gangao Liu
,
Yang Chen
,
ZhouXiang
,
Jingang Wang
,
Xunliang Cai
,
Peng Li
GRAM: A Generative Foundation Reward Model for Reward Generalization
ICML 2025 ·
Chenglong Wang
,
Yang Gan
,
Yifu Huo
,
Yongyu Mu
,
Qiaozhi He
,
Murun Yang
, Bei Li,
Tong Xiao
,
Chunliang Zhang
,
Tongran Liu
,
JingBo Zhu
IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method
EMNLP 2025 ·
Xinyu Liu
, Bei Li,
Jiahao Liu
,
Junhao Ruan
,
Kechen Jiao
,
Hongyin Tang
,
Jingang Wang
,
Tong Xiao
,
JingBo Zhu
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
EMNLP 2025 ·
Yuchun Fan
,
Yilin Wang
,
Yongyu Mu
,
Lei Huang
, Bei Li,
Xiaocheng Feng
,
Tong Xiao
,
JingBo Zhu
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
NeurIPS 2025 ·
Chenglong Wang
,
Yang Gan
,
Hang Zhou
,
Chi Hu
,
Yongyu Mu
,
Kai Song
,
Murun Yang
, Bei Li,
Chunliang Zhang
,
Tongran Liu
,
JingBo Zhu
,
Zhengtao Yu
,
Tong Xiao
ReMamba: Equip Mamba with Effective Long-Sequence Modeling
EMNLP 2025 ·
Danlong Yuan
,
Jiahao Liu
, Bei Li,
Huishuai Zhang
,
Jingang Wang
,
Xunliang Cai
,
Dongyan Zhao
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
ACL 2025 ·
Jianfei Zhang
, Bei Li,
Jun Bai
,
Rumei Li
,
Yanmeng Wang
,
Chenghua Lin
,
Wenge Rong
TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
EMNLP 2025 ·
Kechen Jiao
,
Zhirui Fang
,
Jiahao Liu
, Bei Li,
Qifan Wang
,
Xinyu Liu
,
Junhao Ruan
,
Zhongjian Qiao
,
Yifan Zhu
,
Yaxin Xu
,
Jingang Wang
,
Xiu Li
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
EMNLP 2024 ·
Yuan Ge
,
Yilun Liu
,
Chi Hu
,
Weibin Meng
,
Shimin Tao
,
Xiaofeng Zhao
,
Mahong Xia
,
Zhang Li
,
Boxing Chen
,
Hao Yang
, Bei Li,
Tong Xiao
,
JingBo Zhu
CodeAgent: Autonomous Communicative Agents for Code Review
EMNLP 2024 ·
Xunzhu Tang
,
Kisub Kim
,
Yewei Song
,
Cedric Lothritz
, Bei Li,
Saad Ezzini
,
Haoye Tian
,
Jacques Klein
,
Tegawendé F. Bissyandé
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
ICLR 2024 ·
Qingyan Guo
,
Rui Wang
,
Junliang Guo
, Bei Li,
Kaitao Song
,
Xu Tan
,
Guoqing Liu
,
Jiang Bian
,
Yujiu Yang
EIT: Enhanced Interactive Transformer
ACL 2024 ·
Tong Zheng
, Bei Li,
Huiwen Bao
,
Tong Xiao
,
JingBo Zhu
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
AAAI 2024 ·
Chenglong Wang
,
Hang Zhou
,
Yimin Hu
,
Yifu Huo
, Bei Li,
Tongran Liu
,
Tong Xiao
,
Jingbo Zhu
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
EMNLP 2024 ·
Xinyu Liu
,
Runsong Zhao
,
Pengcheng Huang
,
Chunyang Xiao
, Bei Li,
Jingang Wang
,
Tong Xiao
,
JingBo Zhu
Hybrid Alignment Training for Large Language Models
ACL 2024 ·
Chenglong Wang
,
Hang Zhou
,
Kaiyan Chang
, Bei Li,
Yongyu Mu
,
Tong Xiao
,
Tongran Liu
,
JingBo Zhu
PartialFormer: Modeling Part Instead of Whole for Machine Translation
ACL 2024 ·
Tong Zheng
, Bei Li,
Huiwen Bao
,
Jiale Wang
,
Weiqiao Shan
,
Tong Xiao
,
JingBo Zhu
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
NeurIPS 2024 · Bei Li,
Tong Zheng
,
Rui Wang
,
Jiahao Liu
,
Qingyan Guo
,
Junliang Guo
,
Xu Tan
,
Tong Xiao
,
Jingbo Zhu
,
Jingang Wang
,
Xunliang Cai
Revealing the Parallel Multilingual Learning within Large Language Models
EMNLP 2024 ·
Yongyu Mu
,
Peinan Feng
,
Zhiquan Cao
,
Yuzhang Wu
, Bei Li,
Chenglong Wang
,
Tong Xiao
,
Kai Song
,
Tongran Liu
,
Chunliang Zhang
,
JingBo Zhu
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
EMNLP 2024 ·
Siqi Wang
,
Zhengyu Chen
, Bei Li,
Keqing He
,
Min Zhang
,
Jingang Wang