Expectation-maximization algorithms, null spaces, and MAP image restoration. - Thomas J. Hebert; Keming Lu (IEEE Trans. Image Process., 1995)

Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network. - Delin Hu; Keming Lu; Yunjie Yang (IST, 2019)

High-throughput relation extraction algorithm development associating knowledge articles and electronic health records. - Yucong Lin; Keming Lu; Yulin Chen; Chuan Hong; Sheng Yu 002 (CoRR, 2020)

Long-distance disorder-disorder relation extraction with bootstrapped noisy data. - Yucong Lin; Yang Li; Keming Lu; Cheng Ma; Peng Zhao; Daiqi Gao; Zihao Fan; Zijie Cheng; Zheyu Wang; Sheng Yu 002 (J. Biomed. Informatics, 2020)

Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches. - Yuanren Tong; Keming Lu; Yingyun Yang; Ji Li; Yucong Lin; Dong Wu; Aiming Yang; Yue Li; Sheng Yu 002; Jiaming Qian (BMC Medical Informatics Decis. Mak., 2020)

Summarization as Indirect Supervision for Relation Extraction. - Keming Lu; I-Hung Hsu; Wenxuan Zhou; Mingyu Derek Ma; Muhao Chen 001 (EMNLP (Findings), 2022)

BIOS: An Algorithmically Generated Biomedical Knowledge Graph. - Sheng Yu 002; Zheng Yuan 002; Jun Xia; Shengxuan Luo; Huaiyuan Ying; Sihang Zeng; Jingyi Ren; Hongyi Yuan; Zhengyun Zhao; Yucong Lin; Keming Lu; Jing Wang; et al. (CoRR, 2022)

Knowledge Graph Enhanced Relation Extraction Datasets. - Yucong Lin; Hongming Xiao; Jiani Liu 006; Zichao Lin; Keming Lu; Feifei Wang; Wei Wei (CoRR, 2022)

Prompt Discriminative Language Models for Domain Adaptation. - Keming Lu; Peter Potash; Xihui Lin; Yuwen Sun; Zihan Qian; Zheng Yuan 002; Tristan Naumann; Tianxi Cai; Junwei Lu (ClinicalNLP@ACL, 2023)

Multi-hop Evidence Retrieval for Cross-document Relation Extraction. - Keming Lu; I-Hung Hsu; Wenxuan Zhou; Mingyu Derek Ma; Muhao Chen 001 (ACL (Findings), 2023)

Exploring Partial Knowledge Base Inference in Biomedical Entity Linking. - Hongyi Yuan; Keming Lu; Zheng Yuan 002 (BioNLP@ACL, 2023)

PIVOINE: Instruction Tuning for Open-world Entity Profiling. - Keming Lu; Xiaoman Pan; Kaiqiang Song; Hongming Zhang 009; Dong Yu 001; Jianshu Chen (EMNLP (Findings), 2023)

PIVOINE: Instruction Tuning for Open-world Information Extraction. - Keming Lu; Xiaoman Pan; Kaiqiang Song; Hongming Zhang 009; Dong Yu 001; Jianshu Chen (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)

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (CoRR, 2023)

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. - Shengguang Wu; Keming Lu; Benfeng Xu; Junyang Lin; Qi Su 001; Chang Zhou (CoRR, 2023)

Multimodal learning on graphs for disease relation extraction. - Yucong Lin; Keming Lu; Sheng Yu 002; Tianxi Cai; Marinka Zitnik (J. Biomed. Informatics, 2023)

Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis. - Keming Lu; Yuanren Tong; Si Yu; Yucong Lin; Yingyun Yang; Hui Xu; Yue Li; Sheng Yu 002 (BMC Medical Informatics Decis. Mak., 2023)

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)

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (ACL (1), 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)

Speculative Contrastive Decoding. - Hongyi Yuan; Keming Lu; Fei Huang 005; Zheng Yuan 002; Chang Zhou (ACL (Short Papers), 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)

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. - Keming Lu; Hongyi Yuan; Zheng Yuan 002; Runji Lin; Junyang Lin; Chuanqi Tan; Chang Zhou; Jingren Zhou 001 (ICLR, 2024)

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. - Keming Lu; Hongyi Yuan; Runji Lin; Junyang Lin; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (NAACL-HLT, 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)

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. - Zefan Cai; Yichi Zhang; Bofei Gao; Yuliang Liu; Tianyu Liu 001; Keming Lu; Wayne Xiong; Yue Dong 002; Baobao Chang; Junjie Hu 001; Wen Xiao (CoRR, 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; Junyang Lin; Chang Zhou; Wen Xiao; Junjie Hu 001; Tianyu Liu 001; 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)

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)

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)

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)

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)

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)

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)

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)

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)