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2020 – today
- 2024
[c13]Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou:
Speculative Contrastive Decoding. ACL (Short Papers) 2024: 56-64- [c12]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. ACL (1) 2024: 177-198 - [c11]Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. ACL (1) 2024: 7828-7840 - [c10]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) 2024: 10230-10258 - [c9]Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. EMNLP 2024: 5527-5542 - [c8]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. ICLR 2024 - [c7]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. NAACL-HLT 2024: 1964-1974 - [i27]Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. CoRR abs/2401.12474 (2024) - [i26]Keming Lu, Bowen Yu, Fei Huang, Yang Fan, Runji Lin, Chang Zhou:
Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment. CoRR abs/2405.17931 (2024) - [i25]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:
Towards Scalable Automated Alignment of LLMs: A Survey. CoRR abs/2406.01252 (2024) - [i24]Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao:
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. CoRR abs/2406.02069 (2024) - [i23]Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou:
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. CoRR abs/2406.13542 (2024) - [i22]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:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i21]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:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i20]Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. CoRR abs/2408.10764 (2024) - [i19]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:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i18]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:
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. CoRR abs/2409.12122 (2024) - [i17]Qiaoyu Tang, Le Yu, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun:
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models. CoRR abs/2410.13841 (2024) - [i16]Hao Xiang, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun, Jingren Zhou, Junyang Lin:
Aligning Large Language Models via Self-Steering Optimization. CoRR abs/2410.17131 (2024) - 2023
- [j5]Yucong Lin, Keming Lu, Sheng Yu
, Tianxi Cai, Marinka Zitnik:
Multimodal learning on graphs for disease relation extraction. J. Biomed. Informatics 143: 104415 (2023) - [j4]Keming Lu, Yuanren Tong, Si Yu, Yucong Lin, Yingyun Yang, Hui Xu, Yue Li, Sheng Yu:
Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis. BMC Medical Informatics Decis. Mak. 23(1): 160 (2023) - [c6]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Multi-hop Evidence Retrieval for Cross-document Relation Extraction. ACL (Findings) 2023: 10336-10351 - [c5]Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu:
Prompt Discriminative Language Models for Domain Adaptation. ClinicalNLP@ACL 2023: 247-258 - [c4]Hongyi Yuan, Keming Lu, Zheng Yuan:
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking. BioNLP@ACL 2023: 37-49 - [c3]Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen:
PIVOINE: Instruction Tuning for Open-world Entity Profiling. EMNLP (Findings) 2023: 15108-15127 - [i15]Hongyi Yuan, Keming Lu, Zheng Yuan:
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking. CoRR abs/2303.10330 (2023) - [i14]Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen:
PIVOINE: Instruction Tuning for Open-world Information Extraction. CoRR abs/2305.14898 (2023) - [i13]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. CoRR abs/2308.07074 (2023) - [i12]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:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - [i11]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. CoRR abs/2310.05492 (2023) - [i10]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR abs/2310.05506 (2023) - [i9]Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou:
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. CoRR abs/2311.08182 (2023) - [i8]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. CoRR abs/2311.08692 (2023) - [i7]Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou:
Speculative Contrastive Decoding. CoRR abs/2311.08981 (2023) - 2022
- [c2]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Summarization as Indirect Supervision for Relation Extraction. EMNLP (Findings) 2022: 6575-6594 - [i6]Yucong Lin, Keming Lu, Sheng Yu, Tianxi Cai, Marinka Zitnik:
Multimodal Learning on Graphs for Disease Relation Extraction. CoRR abs/2203.08893 (2022) - [i5]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:
BIOS: An Algorithmically Generated Biomedical Knowledge Graph. CoRR abs/2203.09975 (2022) - [i4]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Summarization as Indirect Supervision for Relation Extraction. CoRR abs/2205.09837 (2022) - [i3]Yucong Lin, Hongming Xiao, Jiani Liu, Zichao Lin, Keming Lu, Feifei Wang, Wei Wei:
Knowledge Graph Enhanced Relation Extraction Datasets. CoRR abs/2210.11231 (2022) - [i2]Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Multi-hop Evidence Retrieval for Cross-document Relation Extraction. CoRR abs/2212.10786 (2022) - 2020
- [j3]Yucong Lin, Yang Li, Keming Lu, Cheng Ma, Peng Zhao, Daiqi Gao, Zihao Fan, Zijie Cheng, Zheyu Wang, Sheng Yu:
Long-distance disorder-disorder relation extraction with bootstrapped noisy data. J. Biomed. Informatics 109: 103529 (2020) - [j2]Yuanren Tong, Keming Lu, Yingyun Yang, Ji Li, Yucong Lin, Dong Wu, Aiming Yang, Yue Li, Sheng Yu, Jiaming Qian:
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches. BMC Medical Informatics Decis. Mak. 20(1): 248 (2020) - [i1]Yucong Lin, Keming Lu, Yulin Chen, Chuan Hong, Sheng Yu:
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records. CoRR abs/2009.03506 (2020)
2010 – 2019
- 2019
- [c1]Delin Hu, Keming Lu, Yunjie Yang:
Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network. IST 2019: 1-6
1990 – 1999
- 1995
- [j1]Thomas J. Hebert, Keming Lu:
Expectation-maximization algorithms, null spaces, and MAP image restoration. IEEE Trans. Image Process. 4(8): 1084-1095 (1995)
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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