Keming Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | On the Editability of Delta Parameters in Post-Trained Models. | Qiaoyu Tang, Le Yu, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun |
| 2025 | ACL | 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, Baobao Chang |
| 2025 | ACL | Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models. | Hao Xiang, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Ben He, Le Sun, Jingren Zhou, Junyang Lin |
| 2025 | ACL | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | MARGE: Improving Math Reasoning with Guided Exploration. | Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. | Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ACL | Speculative Contrastive Decoding. | Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | #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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | Multi-hop Evidence Retrieval for Cross-document Relation Extraction. | Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen |
| 2023 | EMNLP | PIVOINE: Instruction Tuning for Open-world Entity Profiling. | Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen |
| 2022 | EMNLP | Summarization as Indirect Supervision for Relation Extraction. | Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen |