Keming Lu

According to our database, Keming Lu authored at least 37 papers between 1995 and 2024.

Collaborative distances:

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

2024

Qwen2.5 Technical Report.

An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yu Wan, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zihan Qiu

CoRR, 2024

ProcessBench: Identifying Process Errors in Mathematical Reasoning.

Chujie Zheng, Zhenru Zhang, Beichen Zhang, Runji Lin, Keming Lu, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin

CoRR, 2024

Aligning Large Language Models via Self-Steering Optimization.

Hao Xiang, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun, Jingren Zhou, Junyang Lin

CoRR, 2024

A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models.

Qiaoyu Tang, Le Yu, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun

CoRR, 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

An Yang, Beichen Zhang, Binyuan Hui, Bofei Gao, Bowen Yu, Chengpeng Li, Dayiheng Liu, Jianhong Tu, Jingren Zhou, Junyang Lin, Keming Lu, Mingfeng Xue, Runji Lin, Tianyu Liu, Xingzhang Ren, Zhenru Zhang

CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2024

Qwen2 Technical Report.

An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan

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, Tianyu Liu, Baobao Chang

CoRR, 2024

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.

Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou

CoRR, 2024

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao

CoRR, 2024

Towards Scalable Automated Alignment of LLMs: A Survey.

Boxi Cao, Keming Lu, Xinyu Lu, Jiawei Chen, Mengjie Ren, Hao Xiang, Peilin Liu, Yaojie Lu, Ben He, Xianpei Han, Le Sun, Hongyu Lin, Bowen Yu

CoRR, 2024

Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment.

Keming Lu, Bowen Yu, Fei Huang, Yang Fan, Runji Lin, Chang Zhou

CoRR, 2024

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model.

Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

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

Speculative Contrastive Decoding.

Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment.

Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning.

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

BMC Medical Informatics Decis. Mak., December, 2023

Multimodal learning on graphs for disease relation extraction.

Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik

J. Biomed. Informatics, 2023

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning.

Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou

CoRR, 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou

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, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

PIVOINE: Instruction Tuning for Open-world Information Extraction.

Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen

CoRR, 2023

PIVOINE: Instruction Tuning for Open-world Entity Profiling.

Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring Partial Knowledge Base Inference in Biomedical Entity Linking.

Hongyi Yuan, Keming Lu, Zheng Yuan

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Multi-hop Evidence Retrieval for Cross-document Relation Extraction.

Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Prompt Discriminative Language Models for Domain Adaptation.

Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Knowledge Graph Enhanced Relation Extraction Datasets.

Yucong Lin, Hongming Xiao, Jiani Liu, Zichao Lin, Keming Lu, Feifei Wang, Wei Wei

CoRR, 2022

BIOS: An Algorithmically Generated Biomedical Knowledge Graph.

Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum

CoRR, 2022

Summarization as Indirect Supervision for Relation Extraction.

Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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, Jiaming Qian

BMC Medical Informatics Decis. Mak., 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

J. Biomed. Informatics, 2020

High-throughput relation extraction algorithm development associating knowledge articles and electronic health records.

Yucong Lin, Keming Lu, Yulin Chen, Chuan Hong, Sheng Yu

CoRR, 2020

2019

Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network.

Delin Hu, Keming Lu, Yunjie Yang

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

1995

Expectation-maximization algorithms, null spaces, and MAP image restoration.

Thomas J. Hebert, Keming Lu

IEEE Trans. Image Process., 1995