Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu; Bin Wang 004; Sujian Li; Quangang Li (IJCAI, 2019)

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Bowen Yu 002; Zhenyu Zhang 006; Jianlin Su; Yubin Wang; Tingwen Liu; Bin Wang 004; Sujian Li (CoRR, 2019)

Porous Lattice-based Transformer Encoder for Chinese NER. - Mengge Xue; Bowen Yu 002; Tingwen Liu; Bin Wang 004; Erli Meng; Quangang Li (CoRR, 2019)

Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. - Zhenyu Zhang 006; Xiaobo Shu; Bowen Yu 002; Tingwen Liu; Jiapeng Zhao; Quangang Li; Li Guo 001 (AAAI, 2020)

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. - Yanzeng Li; Bowen Yu 002; Mengge Xue; Tingwen Liu (ACL, 2020)

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. - Yucheng Wang; Bowen Yu 002; Yueyang Zhang; Tingwen Liu; Hongsong Zhu; Limin Sun 001 (COLING, 2020)

Porous Lattice Transformer Encoder for Chinese NER. - Mengge Xue; Bowen Yu 002; Tingwen Liu; Yue Zhang; Erli Meng; Bin Wang 004 (COLING, 2020)

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction. - Bowen Yu 002; Mengge Xue; Zhenyu Zhang 006; Tingwen Liu; Yubin Wang; Bin Wang 004 (COLING, 2020)

Document-level Relation Extraction with Dual-tier Heterogeneous Graph. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Tingwen Liu; Hengzhu Tang; Yubin Wang; Li Guo 001 (COLING, 2020)

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Bowen Yu 002; Zhenyu Zhang 006; Xiaobo Shu; Tingwen Liu; Yubin Wang; Bin Wang 004; Sujian Li (ECAI, 2020)

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (EMNLP (Findings), 2020)

Coarse-to-Fine Pre-training for Named Entity Recognition. - Mengge Xue; Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu; Yue Zhang; Bin Wang 004 (EMNLP (1), 2020)

DRG2vec: Learning Word Representations from Definition Relational Graph. - Xiaobo Shu; Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu (IJCNN, 2020)

Strong Baselines for Author Name Disambiguation with and Without Neural Networks. - Zhenyu Zhang 006; Bowen Yu 002; Tingwen Liu; Dong Wang 029 (PAKDD (1), 2020)

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering. - Xin Cong; Bowen Yu 002; Tingwen Liu; Shiyao Cui; Hengzhu Tang; Bin Wang 004 (ECML/PKDD (2), 2020)

Event Detection with Relation-Aware Graph Convolutional Neural Networks. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (CoRR, 2020)

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. - Shiyao Cui; Bowen Yu 002; Xin Cong; Tingwen Liu; Quangang Li; Jinqiao Shi (CoRR, 2020)

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. - Xin Cong; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Yubin Wang; Bin Wang 004 (ACL/IJCNLP (Findings), 2021)

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. - Jiawei Sheng; Shu Guo; Bowen Yu 002; Qian Li 033; Yiming Hei; Lihong Wang; Tingwen Liu; Hongbo Xu (ACL/IJCNLP (Findings), 2021)

Discontinuous Named Entity Recognition as Maximal Clique Discovery. - Yucheng Wang; Bowen Yu 002; Hongsong Zhu; Tingwen Liu; Nan Yu; Limin Sun 001 (ACL/IJCNLP (1), 2021)

From What to Why: Improving Relation Extraction with Rationale Graph. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Mengge Xue; Tingwen Liu; Li Guo 001 (ACL/IJCNLP (Findings), 2021)

Maximal Clique Based Non-Autoregressive Open Information Extraction. - Bowen Yu 002; Yucheng Wang; Tingwen Liu; Hongsong Zhu; Limin Sun 001; Bin Wang 004 (EMNLP (1), 2021)

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. - Xinghua Zhang 001; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Jiawei Sheng; Mengge Xue; Hongbo Xu (EMNLP (1), 2021)

FITAnnotator: A Flexible and Intelligent Text Annotation System. - Yanzeng Li; Bowen Yu 002; Quangang Li; Tingwen Liu (NAACL-HLT (Demonstrations), 2021)

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Tingwen Liu (ECML/PKDD (3), 2021)

Semi-Open Information Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Jiawei Sheng; Tingwen Liu; Yubin Wang; Yucheng Wang; Bin Wang 004 (WWW, 2021)

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. - Jiawei Sheng; Qian Li 033; Yiming Hei; Shu Guo; Bowen Yu 002; Lihong Wang; Min He; Tingwen Liu; Hongbo Xu (Data Intell., 2021)

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. - Yanzeng Li; Jiangxia Cao; Xin Cong; Zhenyu Zhang 006; Bowen Yu 002; Hongsong Zhu; Tingwen Liu (ACL (1), 2022)

Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence. - Mengxiao Song; Bowen Yu 002; Quangang Li; Yubin Wang; Tingwen Liu; Hongbo Xu (EMNLP, 2022)

Semi-Supervised Lifelong Language Learning. - Yingxiu Zhao; Yinhe Zheng; Bowen Yu 002; Zhiliang Tian; Dongkyu Lee; Jian Sun 021; Yongbin Li; Nevin L. Zhang (EMNLP (Findings), 2022)

Document-Level Event Extraction via Human-Like Reading Process. - Shiyao Cui; Xin Cong; Bowen Yu 002; Tingwen Liu; Yucheng Wang; Jinqiao Shi (ICASSP, 2022)

A Survey on Neural Open Information Extraction: Current Status and Future Directions. - Shaowen Zhou; Bowen Yu 002; Aixin Sun; Cheng Long 001; Jingyang Li; Jian Sun 021 (IJCAI, 2022)

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration. - Zhenyu Zhang 006; Bowen Yu 002; Haiyang Yu 003; Tingwen Liu; Cheng Fu 003; Jingyang Li; Chengguang Tang; Jian Sun 021; Yongbin Li (ACM Multimedia, 2022)

Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. - Xinghua Zhang 001; Bowen Yu 002; Yubin Wang; Tingwen Liu; Taoyu Su; Hongbo Xu (SIGIR, 2022)

Relation-Guided Few-Shot Relational Triple Extraction. - Xin Cong; Jiawei Sheng; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. - Yingxiu Zhao; Yinhe Zheng; Zhiliang Tian; Chang Gao; Bowen Yu 002; Haiyang Yu 003; Yongbin Li; Jian Sun 021; Nevin L. Zhang (CoRR, 2022)

Semi-Supervised Lifelong Language Learning. - Yingxiu Zhao; Yinhe Zheng; Bowen Yu 002; Zhiliang Tian; Dongkyu Lee; Jian Sun 021; Haiyang Yu 003; Yongbin Li; Nevin L. Zhang (CoRR, 2022)

Towards Generalized Open Information Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Jingyang Li; Haiyang Yu 003; Tingwen Liu; Jian Sun 021; Yongbin Li; Bin Wang 004 (CoRR, 2022)

Unified Language Representation for Question Answering over Text, Tables, and Images. - Bowen Yu 002; Cheng Fu 003; Haiyang Yu 003; Fei Huang 002; Yongbin Li (ACL (Findings), 2023)

Universal Information Extraction with Meta-Pretrained Self-Retrieval. - Xin Cong; Bowen Yu 002; Mengcheng Fang; Tingwen Liu; Haiyang Yu 003; Zhongkai Hu; Fei Huang 002; Yongbin Li; Bin Wang 004 (ACL (Findings), 2023)

Domain Incremental Lifelong Learning in an Open World. - Yi Dai; Hao Lang; Yinhe Zheng; Bowen Yu 002; Fei Huang 002; Yongbin Li (ACL (Findings), 2023)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Jiawei Sheng; Chuan Zhou 001; Tingwen Liu (IEEE Big Data, 2023)

Diversify Question Generation with Retrieval-Augmented Style Transfer. - Qi Gou; Zehua Xia; Bowen Yu 002; Haiyang Yu 003; Fei Huang 002; Yongbin Li; Cam-Tu Nguyen (EMNLP, 2023)

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs. - Minghao Li; Yingxiu Zhao; Bowen Yu 002; Feifan Song 001; Hangyu Li 003; Haiyang Yu 003; Zhoujun Li; Fei Huang 002; Yongbin Li (EMNLP, 2023)

Improving Question Generation with Multi-level Content Planning. - Zehua Xia; Qi Gou; Bowen Yu 002; Haiyang Yu 003; Fei Huang 002; Yongbin Li; Cam-Tu Nguyen (EMNLP (Findings), 2023)

Causal Document-Grounded Dialogue Pre-training. - Yingxiu Zhao; Bowen Yu 002; Bowen Li 002; Haiyang Yu 003; Jinyang Li 003; Chao Wang; Fei Huang 002; Yongbin Li; Nevin L. Zhang (EMNLP, 2023)

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. - Xinghua Zhang 001; Bowen Yu 002; Jiangxia Cao; Quangang Li; Xuebin Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2023)

Towards Universal Cross-Domain Recommendation. - Jiangxia Cao; Shaoshuai Li; Bowen Yu 002; Xiaobo Guo; Tingwen Liu; Bin Wang 004 (WSDM, 2023)

Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. - Zhenyu Zhang 006; Bowen Yu 002; Tingwen Liu; Tianyun Liu; Yubin Wang; Li Guo 001 (WWW, 2023)

API-Bank: A Benchmark for Tool-Augmented LLMs. - Minghao Li; Feifan Song 001; Bowen Yu 002; Haiyang Yu 003; Zhoujun Li; Fei Huang 002; Yongbin Li (CoRR, 2023)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Tingwen Liu; Chuan Zhou 001 (CoRR, 2023)

PolyLM: An Open Source Polyglot Large Language Model. - Xiangpeng Wei; Haoran Wei; Huan Lin; Tianhao Li; Pei Zhang 011; Xingzhang Ren; Mei Li; Yu Wan 004; Zhiwei Cao; Binbin Xie; Tianxiang Hu; Shangjie Li; et al. (CoRR, 2023)

Wider and Deeper LLM Networks are Fairer LLM Evaluators. - Xinghua Zhang 001; Bowen Yu 002; Haiyang Yu 003; Yangyu Lv; Tingwen Liu; Fei Huang 002; Hongbo Xu; Yongbin Li (CoRR, 2023)

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment. - Yingxiu Zhao; Bowen Yu 002; Binyuan Hui; Haiyang Yu 003; Fei Huang 002; Yongbin Li; Nevin L. Zhang (CoRR, 2023)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

Preference Ranking Optimization for Human Alignment. - Feifan Song 001; Bowen Yu 002; Minghao Li; Haiyang Yu 003; Fei Huang 002; Yongbin Li; Houfeng Wang (AAAI, 2024)

SoFA: Shielded On-the-fly Alignment via Priority Rule Following. - Xinyu Lu; Bowen Yu 002; Yaojie Lu 001; Hongyu Lin; Haiyang Yu 003; Le Sun 001; Xianpei Han; Yongbin Li (ACL (Findings), 2024)

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. - Keming Lu; Bowen Yu 002; Chang Zhou; Jingren Zhou 001 (ACL (1), 2024)

Language Models can Evaluate Themselves via Probability Discrepancy. - Tingyu Xia; Bowen Yu 002; Yuan Wu 002; Yi Chang 001; Chang Zhou (ACL (Findings), 2024)

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment. - Feifan Song 001; Bowen Yu 002; Hao Lang; Haiyang Yu 003; Fei Huang 002; Houfeng Wang; Yongbin Li (LREC/COLING, 2024)

Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment. - Yingxiu Zhao; Bowen Yu 002; Binyuan Hui; Haiyang Yu 003; Minghao Li; Fei Huang 002; Nevin L. Zhang; Yongbin Li (LREC/COLING, 2024)

Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. - Chenhan Yuan; Fei Huang 005; Ru Peng; Keming Lu; Bowen Yu 002; Chang Zhou; Jingren Zhou 001 (EMNLP, 2024)

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch. - Le Yu; Bowen Yu 002; Haiyang Yu 003; Fei Huang 002; Yongbin Li (ICML, 2024)

TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks. - Yucheng Wang; Bowen Yu 002; Yilin Liu; Shudong Lu (NAACL-HLT, 2024)

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model. - Qiaoyu Tang; Jiawei Chen 011; Zhuoqun Li; Bowen Yu 002; Yaojie Lu 001; Cheng Fu 003; Haiyang Yu 003; Hongyu Lin; Fei Huang 002; Ben He; Xianpei Han; Le Sun 001; et al. (NeurIPS, 2024)

Self-Retrieval: Building an Information Retrieval System with One Large Language Model. - Qiaoyu Tang; Jiawei Chen 011; Bowen Yu 002; Yaojie Lu 001; Cheng Fu 003; Haiyang Yu 003; Hongyu Lin; Fei Huang 002; Ben He; Xianpei Han; Le Sun 001; Yongbin Li (CoRR, 2024)

Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment. - Keming Lu; Bowen Yu 002; Fei Huang 005; Yang Fan; Runji Lin; Chang Zhou (CoRR, 2024)

Towards Scalable Automated Alignment of LLMs: A Survey. - Boxi Cao; Keming Lu; Xinyu Lu; Jiawei Chen 011; Mengjie Ren; Hao Xiang; Peilin Liu; Yaojie Lu 001; Ben He; Xianpei Han; Le Sun 001; Hongyu Lin; et al. (CoRR, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement. - Le Yu; Bowen Yu 002; Haiyang Yu 003; Fei Huang 002; Yongbin Li (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. - An Yang; Beichen Zhang; Binyuan Hui; Bofei Gao; Bowen Yu 002; Chengpeng Li 001; Dayiheng Liu; Jianhong Tu; Jingren Zhou 001; Junyang Lin; Keming Lu; Mingfeng Xue; et al. (CoRR, 2024)

Qwen2.5-Coder Technical Report. - Binyuan Hui; Jian Yang 003; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Lei Zhang 201; Tianyu Liu 001; Jiajun Zhang; Bowen Yu 002; Kai Dang; An Yang; Rui Men; et al. (CoRR, 2024)

Rethinking Data Selection at Scale: Random Selection is Almost All You Need. - Tingyu Xia; Bowen Yu 002; Kai Dang; An Yang; Yuan Wu 002; Yuan Tian 016; Yi Chang 001; Junyang Lin (CoRR, 2024)

A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models. - Qiaoyu Tang; Le Yu; Bowen Yu 002; Hongyu Lin; Keming Lu; Yaojie Lu 001; Xianpei Han; Le Sun 001 (CoRR, 2024)

Aligning Large Language Models via Self-Steering Optimization. - Hao Xiang; Bowen Yu 002; Hongyu Lin; Keming Lu; Yaojie Lu 001; Xianpei Han; Le Sun 001; Jingren Zhou 001; Junyang Lin (CoRR, 2024)

Language Models can Self-Lengthen to Generate Long Texts. - Shanghaoran Quan; Tianyi Tang; Bowen Yu 002; An Yang; Dayiheng Liu; Bofei Gao; Jianhong Tu; Yichang Zhang; Jingren Zhou 001; Junyang Lin (CoRR, 2024)

P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs. - Yidan Zhang; Boyi Deng; Yu Wan 004; Baosong Yang; Haoran Wei; Fei Huang 005; Bowen Yu 002; Junyang Lin; Fei Huang 002; Jingren Zhou 001 (CoRR, 2024)

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering. - Xinyan Guan; Yanjiang Liu; Xinyu Lu; Boxi Cao; Ben He; Xianpei Han; Le Sun 001; Jie Lou; Bowen Yu 002; Yaojie Lu 001; Hongyu Lin (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Cross-Domain NER under a Divide-and-Transfer Paradigm. - Xinghua Zhang 001; Bowen Yu 002; Xin Cong; Taoyu Su; Quangang Li; Tingwen Liu; Hongbo Xu (ACM Trans. Inf. Syst., 2024)

Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models. - Hao Xiang; Bowen Yu 002; Hongyu Lin; Keming Lu; Yaojie Lu 001; Xianpei Han; Ben He; Le Sun 001; Jingren Zhou 001; Junyang Lin (ACL (Findings), 2025)

The Lessons of Developing Process Reward Models in Mathematical Reasoning. - Zhenru Zhang; Chujie Zheng; Yangzhen Wu; Beichen Zhang; Runji Lin; Bowen Yu 002; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (Findings), 2025)

ProcessBench: Identifying Process Errors in Mathematical Reasoning. - Chujie Zheng; Zhenru Zhang; Beichen Zhang; Runji Lin; Keming Lu; Bowen Yu 002; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (1), 2025)

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. - Guanting Dong; Keming Lu; Chengpeng Li 001; Tingyu Xia; Bowen Yu 002; Chang Zhou; Jingren Zhou 001 (ICLR, 2025)

Transferable Post-training via Inverse Value Learning. - Xinyu Lu; Xueru Wen; Yaojie Lu 001; Bowen Yu 002; Hongyu Lin; Haiyang Yu 003; Le Sun 001; Xianpei Han; Yongbin Li (NAACL (Long Papers), 2025)

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. - Shanghaoran Quan; Jiaxi Yang; Bowen Yu 002; Bo Zheng 007; Dayiheng Liu; An Yang; Xuancheng Ren; Bofei Gao; Yibo Miao; Yunlong Feng; Zekun Wang; Jian Yang 003; et al. (CoRR, 2025)

Enabling Scalable Oversight via Self-Evolving Critic. - Zhengyang Tang; Ziniu Li; Zhenyang Xiao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Dayiheng Liu; Fei Huang 005; Tianyu Liu 001; Bowen Yu 002; Junyang Lin (CoRR, 2025)

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques. - Zhengyang Tang; Ziniu Li; Zhenyang Xiao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Dayiheng Liu; Fei Huang 005; Tianyu Liu 001; Bowen Yu 002; Junyang Lin (CoRR, 2025)

Qwen2.5-1M Technical Report. - An Yang; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoyan Huang; Jiandong Jiang; Jianhong Tu; Jianwei Zhang 012; Jingren Zhou 001; Junyang Lin; Kai Dang; et al. (CoRR, 2025)

AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models. - Qin Zhu; Fei Huang 005; Runyu Peng; Keming Lu; Bowen Yu 002; Qinyuan Cheng; Xipeng Qiu; Xuanjing Huang 001; Junyang Lin (CoRR, 2025)

Efficient Long Context Fine-tuning with Chunk Flow. - Xiulong Yuan; Hongtao Xu; Wenting Shen; Ang Wang; Xiafei Qiu; Jie Zhang 078; Yuqiong Liu; Bowen Yu 002; Junyang Lin; Mingzhen Li 001; Weile Jia; Yong Li 020; et al. (CoRR, 2025)

START: Self-taught Reasoner with Tools. - Chengpeng Li 001; Mingfeng Xue; Zhenru Zhang; Jiaxi Yang; Beichen Zhang; Xiang Wang 010; Bowen Yu 002; Binyuan Hui; Junyang Lin; Dayiheng Liu (CoRR, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

WorldPM: Scaling Human Preference Modeling. - Binghai Wang; Runji Lin; Keming Lu; Le Yu; Zhenru Zhang; Fei Huang 005; Chujie Zheng; Kai Dang; Yang Fan; Xingzhang Ren; An Yang; Binyuan Hui; et al. (CoRR, 2025)

MARGE: Improving Math Reasoning for LLMs with Guided Exploration. - Jingyue Gao; Runji Lin; Keming Lu; Bowen Yu 002; Junyang Lin; Jianyu Chen (CoRR, 2025)

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning. - Shenzhi Wang; Le Yu; Chang Gao; Chujie Zheng; Shixuan Liu; Rui Lu; Kai Dang; Xionghui Chen; Jianxin Yang; Zhenru Zhang; Yuqiong Liu; An Yang; et al. (CoRR, 2025)

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code. - Keqin Bao; Nuo Chen; Xiaoyuan Li; Binyuan Hui; Bowen Yu 002; Fuli Feng; Xiangnan He 001; Dayiheng Liu (CoRR, 2025)

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback. - Qiaoyu Tang; Hao Xiang; Le Yu; Bowen Yu 002; Hongyu Lin; Yaojie Lu 001; Xianpei Han; Le Sun 001; Junyang Lin (CoRR, 2025)

Group Sequence Policy Optimization. - Chujie Zheng; Shixuan Liu; Mingze Li; Xiong-Hui Chen; Bowen Yu 002; Chang Gao; Kai Dang; Yuqiong Liu; Rui Men; An Yang; Jingren Zhou 001; Junyang Lin (CoRR, 2025)

RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing. - Hao Xiang; Tianyi Tang; Yang Su; Bowen Yu 002; An Yang; Fei Huang 002; Yichang Zhang; Yaojie Lu 001; Hongyu Lin; Xianpei Han; Jingren Zhou 001; Junyang Lin; et al. (CoRR, 2025)

Qwen-Image Technical Report. - Chenfei Wu; Jiahao Li; Jingren Zhou 001; Junyang Lin; Kaiyuan Gao; Kun Yan; Shengming Yin; Shuai Bai; Xiao Xu 005; Yilei Chen; Yuxiang Chen; Zecheng Tang; et al. (CoRR, 2025)