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 | UniCM: A Unified Consistency Model For Efficient Multimodal Generation and Understanding. | Chenkai Xu, Xu Wang, Zhenyi Liao, Yishun Li, TianQi Hou, Zhijie Deng |
| 2026 | Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS. | Shijia Xu, Zhou Wu, Xiaolong Jia, Yu Wang, Kai Liu, April Xiaowen Dong |
| 2026 | RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game. | Shijia Xu, Yu Wang, Xiaolong Jia, Zhou Wu, Kai Liu, April Xiaowen Dong |
| 2026 | Understanding Conflicts in Multi-Objective Alignment through Reward Consistency. | Zhihao Xu, Yongqi Tong, Xin Zhang, Jun Zhou, Xiting Wang |
| 2026 | Rethinking Data Mixing from the Perspective of Large Language Models. | Yuanjian Xu, Tianze Sun, Changwei Xu, XinLong Zhao, Jianing Hao, Ran Chen, Yang Liu, Ruijie Xu, Stephen Chen, Guang Zhang |
| 2026 | SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models. | Bingxin Xu, Yuzhang Shang, Binghui Wang, Emilio Ferrara |
| 2026 | Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLP. | Shanshan Xu, T. Y. S. S. Santosh, Barbara Plank |
| 2026 | "I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns? | Naen Xu, Jiayi Sheng, Changjiang Li, Chunyi Zhou, Yuyuan Li, Tianyu Du, Jun Wang, Zhihui Fu, Jinbao Li, Shouling Ji |
| 2026 | Cross-Modal Taxonomic Generalization in (Vision-) Language Models. | Tianyang Xu, Marcelo Sandoval-Castaeda, Karen Livescu, Greg Shakhnarovich, Kanishka Misra |
| 2026 | TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery. | Wenxi Xu, Chuan Qin, Xi Chen, Chuyu Fang, Yuanchun Zhou, Hengshu Zhu |
| 2026 | Reasoning Fails Where Step Flow Breaks. | Xiaoyu Xu, Yulan Pan, Xiaosong Yuan, Zhihong Shen, Minghao Su, Yuanhao Su, Xiaofeng Zhang |
| 2026 | CoAct: Co-Active LLM Preference Learning with Human-AI Synergy. | Ruiyao Xu, Mihir Parmar, Tiankai Yang, Zhengyu Hu, Yue Zhao, Kaize Ding |
| 2026 | From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. | Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro |
| 2026 | LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models. | Wenxuan Xu, Arvind Pillai, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew T. Campbell |
| 2026 | Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning. | Shuyao Xu, Cheng Peng, Jiangxuan Long, Weidi Xu, Wei Chu, Yuan Qi |
| 2026 | A Survey of Large Models in Sports. | Yichen Xu, Jianzhe Ma, Chuhan Wang, Zhonghao Cao, Liangyu Chen, Wenxuan Wang, Qin Jin |
| 2026 | FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling. | Guixian Xu, Yide Liang, Zeli Su, Xuexian Song, Ziyin Zhang, Yushuang Dong, Ting Zhang, Xu Han |
| 2026 | GAVEL: Evidence-Contract Debate with Mechanized Scrutiny for Provenance-Grounded Fact-Checking. | Ruoyu Xu, Gaoxiang Li, Victor S. Sheng |
| 2026 | TInR: Exploring Tool-Internalized Reasoning in Large Language Models. | Qiancheng Xu, Yongqi Li, Fan Liu, Hongru Wang, Min Yang, Wenjie Li |
| 2026 | Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text. | Zhihao Xu, Rumei Li, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xunliang Cai, Xiting Wang |
| 2026 | Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory. | Derong Xu, Shuochen Liu, Pengfei Luo, Pengyue Jia, Yingyi Zhang, Yi Wen, Yimin Deng, Wenlin Zhang, Enhong Chen, Xiangyu Zhao, Tong Xu |
| 2026 | MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis. | Xingle Xu, Yongkang Liu, Dexian Cai, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang |
| 2026 | RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning. | Xingle Xu, Fanheng Kong, Dexian Cai, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang |
| 2026 | ECHA: Jailbreaking LVLMs via the Mismatch between Implicit Semantic Reconstruction and Explicit Safety Alignment. | Chenxing Xu, Junyong Jiang, Zehu Zhang, Lu Dong |
| 2026 | LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection. | Cheng Xu, Changhong Jin, Yingjie Niu, Nan Yan, Yuke Mei, Shuhao Guan, Liming Chen, M. Tahar Kechadi |
851–875 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