A neural words encoding model. - Dayiheng Liu; Jian Cheng Lv 001; Xiaofeng Qi; Jiangshu Wei (IJCNN, 2016)

A Multi-Modal Chinese Poetry Generation Model. - Dayiheng Liu; Quan Guo; Wubo Li; Jiancheng Lv 001 (IJCNN, 2018)

Method to Improve the Performance of Restricted Boltzmann Machines. - Jing Yin; Qingyu Mao; Dayiheng Liu; Yong Xu; Jiancheng Lv 001 (ISNN, 2018)

BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. - Dayiheng Liu; Jiancheng Lv 001; Feng He; Yifan Pu (CoRR, 2018)

Ancient-Modern Chinese Translation with a Large Training Dataset. - Dayiheng Liu; Jiancheng Lv 001; Kexin Yang 002; Qian Qu (CoRR, 2018)

TIGS: An Inference Algorithm for Text Infilling with Gradient Search. - Dayiheng Liu; Jie Fu 001; Pengfei Liu 003; Jiancheng Lv 001 (ACL (1), 2019)

mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation. - Dayiheng Liu; Yang Xue; Feng He; Yuanyuan Chen; Jiancheng Lv 001 (CoRR, 2019)

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. - Dayiheng Liu; Jie Fu 001; Yidan Zhang; Chris Pal; Jiancheng Lv 001 (CoRR, 2019)

Deep learning-based automatic downbeat tracking: a brief review. - Bijue Jia; Jiancheng Lv 001; Dayiheng Liu (Multim. Syst., 2019)

BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. - Dayiheng Liu; Jie Fu 001; Qian Qu; Jiancheng Lv 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Generating Style-Specific Chinese Tang Poetry With a Simple Actor-Critic Model. - Dayiheng Liu; Jiancheng Lv 001; Yunxia Li (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. - Dayiheng Liu; Jie Fu 001; Yidan Zhang; Chris Pal; Jiancheng Lv 001 (AAAI, 2020)

Deep Poetry: A Chinese Classical Poetry Generation System. - Yusen Liu 001; Dayiheng Liu; Jiancheng Lv 001 (AAAI, 2020)

RikiNet: Reading Wikipedia Pages for Natural Question Answering. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Yu Yan; Jiusheng Chen; Daxin Jiang; Jiancheng Lv 001; Nan Duan (ACL, 2020)

Let's be Humorous: Knowledge Enhanced Humor Generation. - Hang Zhang 029; Dayiheng Liu; Jiancheng Lv 001; Cheng Luo (ACL (student), 2020)

Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine. - Chanjuan Li; Dayiheng Liu; Kexin Yang 002; Xiaoming Huang; Jiancheng Lv 001 (BIBM, 2020)

Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Yu Yan; Jiusheng Chen; Jiancheng Lv 001; Nan Duan; Ming Zhou 001 (EMNLP (1), 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Yu Yan; Jie Fu 001; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (EMNLP (1), 2020)

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. - Weizhen Qi; Yu Yan; Yeyun Gong; Dayiheng Liu; Nan Duan; Jiusheng Chen; Ruofei Zhang; Ming Zhou 001 (EMNLP (Findings), 2020)

Exploration on the Generation of Chinese Palindrome Poetry. - Liao Chen; Zhichen Lai 001; Dayiheng Liu; Jiancheng Lv 001; Yongsheng Sang (ICONIP (1), 2020)

Generating Chinese Poetry from Images via Concrete and Abstract Information. - Yusen Liu 001; Dayiheng Liu; Jiancheng Lv 001; Yongsheng Sang (IJCNN, 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Wei Liu; Yu Yan; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (CoRR, 2020)

AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation. - Huishuang Tian; Kexin Yang 002; Dayiheng Liu; Jiancheng Lv 001 (CoRR, 2020)

μ-Forcing: Training Variational Recurrent Autoencoders for Text Generation. - Dayiheng Liu; Yang Xue; Feng He; Yuanyuan Chen; Jiancheng Lv 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Ancient-Modern Chinese Translation with a New Large Training Dataset. - Dayiheng Liu; Kexin Yang 002; Qian Qu; Jiancheng Lv 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Towards User-Driven Neural Machine Translation. - Huan Lin; Liang Yao; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Weihua Luo; Degen Huang; Jinsong Su (ACL/IJCNLP (1), 2021)

GLGE: A New General Language Generation Evaluation Benchmark. - Dayiheng Liu; Yu Yan; Yeyun Gong; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Weizhu Chen; Jie Fu 001; Linjun Shou; Ming Gong 001; Pengcheng Wang; Jiusheng Chen; et al. (ACL/IJCNLP (Findings), 2021)

Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. - Xin Liu 066; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Weihua Luo; Min Zhang 005; Haiying Zhang; Jinsong Su (ACL/IJCNLP (1), 2021)

POS-Constrained Parallel Decoding for Non-autoregressive Generation. - Kexin Yang 002; Wenqiang Lei; Dayiheng Liu; Weizhen Qi; Jiancheng Lv 001 (ACL/IJCNLP (1), 2021)

Evolving transformer architecture for neural machine translation. - Ben Feng; Dayiheng Liu; Yanan Sun 001 (GECCO Companion, 2021)

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. - Weizhen Qi; Yeyun Gong; Jian Jiao 007; Yu Yan; Weizhu Chen; Dayiheng Liu; Kewen Tang; Houqiang Li; Jiusheng Chen; Ruofei Zhang; Ming Zhou 001; Nan Duan (ICML, 2021)

AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation. - Huishuang Tian; Kexin Yang 002; Dayiheng Liu; Jiancheng Lv 001 (IJCNN, 2021)

Mask Attention Networks: Rethinking and Strengthen Transformer. - Zhihao Fan; Yeyun Gong; Dayiheng Liu; Zhongyu Wei; Siyuan Wang; Jian Jiao 007; Nan Duan; Ruofei Zhang; Xuanjing Huang 001 (NAACL-HLT, 2021)

RoBLEURT Submission for WMT2021 Metrics Task. - Yu Wan 004; Dayiheng Liu; Baosong Yang; Tianchi Bi; Haibo Zhang 013; Boxing Chen; Weihua Luo; Derek F. Wong; Lidia S. Chao (WMT@EMNLP, 2021)

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System. - Cheng Luo; Dayiheng Liu; Chanjuan Li; Li Lu; Jiancheng Lv 001 (CoRR, 2021)

Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval. - Linlong Xu; Baosong Yang; Xiaoyu Lv; Tianchi Bi; Dayiheng Liu; Haibo Zhang 013 (CoRR, 2021)

KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. - Xin Liu 066; Dayiheng Liu; Baosong Yang; Haibo Zhang 013; Junwei Ding; Wenqing Yao; Weihua Luo; Haiying Zhang; Jinsong Su (CoRR, 2021)

An automatic evaluation metric for Ancient-Modern Chinese translation. - Kexin Yang 002; Dayiheng Liu; Qian Qu; Yongsheng Sang; Jiancheng Lv 001 (Neural Comput. Appl., 2021)

KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. - Xin Liu 066; Dayiheng Liu; Baosong Yang; Haibo Zhang 013; Junwei Ding; Wenqing Yao; Weihua Luo; Haiying Zhang; Jinsong Su (AAAI, 2022)

Frequency-Aware Contrastive Learning for Neural Machine Translation. - Tong Zhang 001; Wei Ye 004; Baosong Yang; Long Zhang; Xingzhang Ren; Dayiheng Liu; Jinan Sun; Shikun Zhang; Haibo Zhang 013; Wen Zhao (AAAI, 2022)

GCPG: A General Framework for Controllable Paraphrase Generation. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Haibo Zhang 013; Xue Zhao; Wenqing Yao; Boxing Chen (ACL (Findings), 2022)

UniTE: Unified Translation Evaluation. - Yu Wan 004; Dayiheng Liu; Baosong Yang; Haibo Zhang 013; Boxing Chen; Derek F. Wong; Lidia S. Chao (ACL (1), 2022)

Attention Mechanism with Energy-Friendly Operations. - Yu Wan 004; Baosong Yang; Dayiheng Liu; Rong Xiao 001; Derek F. Wong; Haibo Zhang 013; Boxing Chen; Lidia S. Chao (ACL (Findings), 2022)

Unsupervised Preference-Aware Language Identification. - Xingzhang Ren; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Xiaoyu Lv; Liang Yao; Jun Xie (ACL (Findings), 2022)

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? - Pei Zhang 011; Baosong Yang; Haoran Wei; Dayiheng Liu; Kai Fan 002; Luo Si; Jun Xie (EMNLP, 2022)

Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation. - Huan Lin; Baosong Yang; Liang Yao; Dayiheng Liu; Haibo Zhang 013; Jun Xie; Min Zhang 005; Jinsong Su (NAACL-HLT (Findings), 2022)

Dangling-Aware Entity Alignment with Mixed High-Order Proximities. - Juncheng Liu; Zequn Sun; Bryan Hooi; Yiwei Wang 001; Dayiheng Liu; Baosong Yang; Xiaokui Xiao; Muhao Chen 001 (NAACL-HLT (Findings), 2022)

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. - Yiwei Wang 001; Muhao Chen 001; Wenxuan Zhou; Yujun Cai; Yuxuan Liang; Dayiheng Liu; Baosong Yang; Juncheng Liu; Bryan Hooi (NAACL-HLT, 2022)

Self-supervised Product Title Rewrite for Product Listing Ads. - Xue Zhao; Dayiheng Liu; Junwei Ding; Liang Yao; Mahone Yan; Huibo Wang; Wenqing Yao (NAACL-HLT (Industry Papers), 2022)

Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. - Keqin Bao; Yu Wan 004; Dayiheng Liu; Baosong Yang; Wenqiang Lei; Xiangnan He 001; Derek F. Wong; Jun Xie (WMT, 2022)

Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task. - Yu Wan 004; Keqin Bao; Dayiheng Liu; Baosong Yang; Derek F. Wong; Lidia S. Chao; Wenqiang Lei; Jun Xie (WMT, 2022)

Effective Approaches to Neural Query Language Identification. - Xingzhang Ren; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Xiaoyu Lv; Liang Yao; Jun Xie (Comput. Linguistics, 2022)

RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation. - Yidan Zhang; Yu Wan 004; Dayiheng Liu; Baosong Yang; Zhenan He 001 (CoRR, 2022)

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Mingfeng Xue; Boxing Chen; Jun Xie (CoRR, 2022)

Draft, Command, and Edit: Controllable Text Editing in E-Commerce. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Qian Qu; Jiancheng Lv 001 (CoRR, 2022)

Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task. - Yu Wan 004; Keqin Bao; Dayiheng Liu; Baosong Yang; Derek F. Wong; Lidia S. Chao; Wenqiang Lei; Jun Xie (CoRR, 2022)

Prediction, selection, and generation: a knowledge-driven conversation system. - Cheng Luo; Dayiheng Liu; Chanjuan Li; Li Lu; Jiancheng Lv 001 (Neural Comput. Appl., 2022)

CoupGAN: Chinese couplet generation via encoder-decoder model and adversarial training under global control. - Qian Qu; Jiancheng Lv 001; Dayiheng Liu; Kexin Yang 002 (Soft Comput., 2022)

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Mingfeng Xue; Boxing Chen; Jun Xie (ACL (1), 2023)

Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. - Zhiwei Cao; Baosong Yang; Huan Lin; Suhang Wu; Xiangpeng Wei; Dayiheng Liu; Jun Xie; Min Zhang 005; Jinsong Su (ACL (1), 2023)

Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Xiangpeng Wei; Zhengyuan Liu; Jun Xie (ACL (1), 2023)

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. - Yuyan Chen; Qiang Fu 015; Yichen Yuan; Zhihao Wen; Ge Fan; Dayiheng Liu; Dongmei Zhang 001; Zhixu Li; Yanghua Xiao (CIKM, 2023)

Noisy Pair Corrector for Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Xingwei He 003; Dayiheng Liu; Daya Guo; Jiancheng Lv 001; Jian Guo (EMNLP (Findings), 2023)

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. - Yuyan Chen; Zhihao Wen; Ge Fan; Zhengyu Chen; Wei Wu 014; Dayiheng Liu; Zhixu Li; Bang Liu; Yanghua Xiao (EMNLP (Findings), 2023)

Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. - Mingfeng Xue; Dayiheng Liu; Wenqiang Lei; Jie Fu 001; Jian Lan; Mei Li; Baosong Yang; Jun Xie; Yidan Zhang; Dezhong Peng; Jiancheng Lv 001 (EMNLP, 2023)

Dynamic Voting for Efficient Reasoning in Large Language Models. - Mingfeng Xue; Dayiheng Liu; Wenqiang Lei; Xingzhang Ren; Baosong Yang; Jun Xie; Yidan Zhang; Dezhong Peng; Jiancheng Lv 001 (EMNLP (Findings), 2023)

EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. - Ping Guo 002; Xiangpeng Wei; Yue Hu 002; Baosong Yang; Dayiheng Liu; Fei Huang 002; Jun Xie (NeurIPS, 2023)

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. - Keqin Bao; Yu Wan 004; Dayiheng Liu; Baosong Yang; Wenqiang Lei; Xiangnan He 001; Derek F. Wong; Jun Xie (CoRR, 2023)

Interactive Natural Language Processing. - Zekun Wang; Ge Zhang 009; Kexin Yang 002; Ning Shi; Wangchunshu Zhou; Shaochun Hao; Guangzheng Xiong; Yizhi Li; Mong Yuan Sim; Xiuying Chen; Qingqing Zhu; Zhenzhu Yang; et al. (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)

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)

OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models. - Mingfeng Xue; Dayiheng Liu; Kexin Yang 002; Guanting Dong; Wenqiang Lei; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (CoRR, 2023)

Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation. - Yuyan Chen; Yichen Yuan; Panjun Liu; Dayiheng Liu; Qinghao Guan; Mengfei Guo; Haiming Peng; Bang Liu; Zhixu Li; Yanghua Xiao (AAAI, 2024)

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. - Guanting Dong; Hongyi Yuan; Keming Lu; Chengpeng Li 001; Mingfeng Xue; Dayiheng Liu; Wei Wang 225; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (ACL (1), 2024)

Rationales for Answers to Simple Math Word Problems Confuse Large Language Models. - Yidan Zhang; Mingfeng Xue; Dayiheng Liu; Zhenan He 001 (ACL (Findings), 2024)

MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation. - Jianhui Pang; Baosong Yang; Derek F. Wong; Dayiheng Liu; Xiangpeng Wei; Jun Xie; Lidia S. Chao (LREC/COLING, 2024)

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Dayiheng Liu; Shunyu Zhang; Xingwei He 003; Jiancheng Lv 001; Jian Guo (LREC/COLING, 2024)

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. - Yuxin Tian; Mouxing Yang; Yunfan Li 003; Dayiheng Liu; Xingzhang Ren; Xi Peng 001; Jiancheng Lv 001 (ICME, 2024)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning. - Chengpeng Li 001; Guanting Dong; Mingfeng Xue; Ru Peng; Xiang Wang 010; Dayiheng Liu (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)

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)

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution. - Peng Wang 028; Shuai Bai; Sinan Tan; Shijie Wang 007; Zhihao Fan; Jinze Bai; Keqin Chen; Xuejing Liu; Jialin Wang; Wenbin Ge; Yang Fan; Kai Dang; et al. (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)

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)

Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine Translation. - Jianhui Pang; Baosong Yang; Derek Fai Wong; Yu Wan 004; Dayiheng Liu; Lidia S. Chao; Jun Xie (Comput. Linguistics, 2024)

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. - Bofei Gao; Zefan Cai; Runxin Xu; Peiyi Wang; Ce Zheng; Runji Lin; Keming Lu; Dayiheng Liu; Chang Zhou; Wen Xiao; Tianyu Liu 001; Baobao Chang (ACL (Findings), 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 007; Fuli Feng; Dayiheng Liu; Junyang Lin (ACL (Findings), 2025)

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. - Zihan Qiu; Zeyu Huang; Bo Zheng 007; Kaiyue Wen; Zekun Wang; Rui Men; Ivan Titov 001; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (1), 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)

DataMan: Data Manager for Pre-training Large Language Models. - Ru Peng; Kexin Yang 002; Yawen Zeng; Junyang Lin; Dayiheng Liu; Junbo Zhao 002 (ICLR, 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)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; 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)

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free. - Zihan Qiu; Zekun Wang; Bo Zheng 007; Zeyu Huang; Kaiyue Wen; Songlin Yang; Rui Men; Le Yu; Fei Huang; Suozhi Huang; Dayiheng Liu; Jingren Zhou 001; et al. (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)

Parallel Scaling Law for Language Models. - Mouxiang Chen; Binyuan Hui; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Jianling Sun; Junyang Lin; Zhongxin Liu 002 (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)

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. - Xiaoyuan Li; Keqin Bao; Yubo Ma; Moxin Li; Wenjie Wang 007; Rui Men; Yichang Zhang; Fuli Feng; Dayiheng Liu; Junyang Lin (CoRR, 2025)

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs. - Yufa Zhou; Shaobo Wang; Xingyu Dong; Xiangqi Jin; Yifang Chen; Yue Min; Kexin Yang; Xingzhang Ren; Dayiheng Liu; Linfeng Zhang (CoRR, 2025)

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models. - Yanzhao Zhang; Mingxin Li; Dingkun Long; Xin Zhang 097; Huan Lin; Baosong Yang; Pengjun Xie; An Yang; Dayiheng Liu; Junyang Lin; Fei Huang 002; Jingren Zhou 001 (CoRR, 2025)

CoRT: Code-integrated Reasoning within Thinking. - Chengpeng Li 001; Zhengyang Tang; Ziniu Li; Mingfeng Xue; Keqin Bao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Xiang Wang 010; Junyang Lin; Dayiheng Liu (CoRR, 2025)

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. - Baolong Bi; Shenghua Liu; Xingzhang Ren; Dayiheng Liu; Junyang Lin; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Jiafeng Guo; Xueqi Cheng (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)

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning. - Xiaoyuan Li; Moxin Li; Wenjie Wang 007; Rui Men; Yichang Zhang; Fuli Feng; Dayiheng Liu; Junyang Lin (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)