Association for Computational Linguistics
ACL
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
21.3% (2024 main conference)
Fields of research
Artificial Intelligence
Papers indexed
22,541
1979–2026
Papers per year
19794,820 peak2026
Most published authors
- Min Zhang205
- Yang Liu154
- Maosong Sun133
- Jie Zhou126
- Zhiyuan Liu121
- Yue Zhang119
ACL papers
22,541 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2026 | Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow. | Yangyang Zhong, Yanmei Gu, Zhengqing Zang, Xiaomeng Li, Yuqi Ding, Xibei Jia, Yuting Shen, Zhenzhong Lan, Liwang Zhu, Weiping Liu, Junlin Zhou, Haisheng Liu, Zhong Xin Yu, Pengxin Luo, Donglian Qi, Yunfeng Yan, Junbo Zhao |
| 2026 | SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility. | Xuyang Zhi, Peilun Zhou, Chengqiang Lu, Hang Lv, Yiwei Liang, Rongyang Zhang, Yan Gao, Yi Wu, Yao Hu, Hongchao Gu, Defu Lian, Hao Wang, Enhong Chen |
| 2026 | Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents. | Shuai Zhen, Yanhua Yu, Ruopei Guo, Nan Cheng, Yang Deng |
| 2026 | PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models. | Haoyu Zheng, Yun Zhu, Yuqian Yuan, Bo Yuan, Wenqiao Zhang, Siliang Tang, Jun Xiao |
| 2026 | DP³: Differentially Private Prompt Perturbation for Multi-turn LLM Inference. | Lele Zheng, Chao Zhang, Feiyang Yuan, Ke Cheng, Tao Zhang, Anxiao Song, Yulong Shen |
| 2026 | A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage. | Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang |
| 2026 | Can We Predict Before Executing Machine Learning Agents? | Jingsheng Zheng, Jintian Zhang, Yujie Luo, Yuren Mao, Yunjun Gao, Lun Du, Huajun Chen, Ningyu Zhang |
| 2026 | DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language Models. | Guanyu Zheng, Wang Zhenyu, Tingting He, Xv Wang, Haochang Wang, Yaokai Huang, Tiejun Zhao |
| 2026 | Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering. | Li Zheng, Xin Zhang, Shuyi He, Fei Li, Chong Teng, Jiang-Ming Yang, Donghong Ji, Zhuang Li |
| 2026 | Training-Free Test-Time Contrastive Learning for Large Language Models. | Kaiwen Zheng, Kai Zhou, Jinwu Hu, Te Gu, Mingkai Peng, Fei Liu |
| 2026 | ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models. | Jiasheng Zheng, Xin Zheng, Boxi Cao, Pengbo Wang, Zhengzhao Ma, Qiming Zhu, Jiazhen Jiang, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun |
| 2026 | The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games. | Zheng Zhang, Deheng Ye, Peilin Zhao, Hao Wang |
| 2026 | From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation. | Pujun Zheng, Jiacheng Yao, Jinquan Zheng, Chenyang Gu, Guoxiu He, Jiawei Liu, Yong Huang, Tianrui Guo, Wei Lu |
| 2026 | Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO. | Jinquan Zheng, Jia Yuan, Jiacheng Yao, Chenyang Gu, Pujun Zheng, Guoxiu He |
| 2026 | DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models. | Lifan Zheng, Xue Yang, Jiawei Chen, Chenyan Wu, Jingyuan Zhang, Fanheng Kong, Xinyi Zeng, Xiang Chen, Yu Tian |
| 2026 | Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script. | Jingting Zheng, Deyi Xiong |
| 2026 | IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters. | Hongwei Zheng, Weiqi Wu, Zhengjia Wang, Guanyu Jiang, Haoming Li, Tianyu Wu, Yongchun Zhu, Jingwu Chen, Feng Zhang |
| 2026 | Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models. | Xiaofan Zheng, Xinghao Wang, Xiaojun Wan |
| 2026 | UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint. | Xiaofan Zheng, Xinghao Wang, Xiaojun Wan |
| 2026 | LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning. | Wenxiang Zheng, Guo Tang, Shixin Jiang, Liangyu Huo, Xiyuan Zhang, Jian Xie, Ming Liu |
| 2026 | Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts. | Jingting Zheng, Yuqi Ren, Linhao Yu, Yongqi Leng, Deyi Xiong |
| 2026 | OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models. | Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei |
| 2026 | MedDCR: Learning to Design Agentic Workflows for Medical Coding. | Jiyang Zheng, Islam Nassar, Thanh Vu, Xu Zhong, Yang Lin, Tongliang Liu, Long Duong, Yuan-Fang Li |
| 2026 | Pub-LawBench: Public-Oriented Benchmarking for LegalAI. | Qiaoyu Zheng, Zehan Ma, Yijing Zhang, Qiqi Wang, Huijia Li, Qian Liu |
| 2026 | DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation. | Hao Zheng, Guozhao Mo, Xinru Yan, Qianhao Yuan, Wenkai Zhang, Xuanang Chen, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun |
151–175 of 22,541← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*AAAINational Conference of the American Association for Artificial Intelligence
- A*ICRAIEEE International Conference on Robotics and Automation
- AInterspeechInterspeech (combined EuroSpeech and ICSLP in 2000)
- AIROSIEEE/RSJ International Conference on Intelligent Robots and Systems
- A*IJCAIInternational Joint Conference on Artificial Intelligence
- A*EMNLPEmpirical Methods in Natural Language Processing
- AGECCOGenetic and Evolutionary Computations
- ANAACLNorth American Association for Computational Linguistics