North American Association for Computational Linguistics
NAACL
A
CORE rank
CORE rank (raw)
A
Acceptance rate
24.7% (2024 main conference)
Fields of research
Artificial Intelligence
Papers indexed
7,329
1989–2025
Papers per year
19891,370 peak2025
Most published authors
NAACL papers
7,329 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Massive End-to-end Speech Recognition Models with Time Reduction. | Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar |
| 2024 | LETI: Learning to Generate from Textual Interactions. | Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji |
| 2024 | Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration. | Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji |
| 2024 | Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation. | Xindi Wang, Robert E. Mercer, Frank Rudzicz |
| 2024 | Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation. | Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara |
| 2024 | Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models. | Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang, Qi Zhu, Kam-Fai Wong, Ruifeng Xu |
| 2024 | InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions. | Yifan Wang, Yafei Liu, Chufan Shi, Haoling Li, Chen Chen, Haonan Lu, Yujiu Yang |
| 2024 | CodecLM: Aligning Language Models with Tailored Synthetic Data. | Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister |
| 2024 | FPT: Feature Prompt Tuning for Few-shot Readability Assessment. | Ziyang Wang, Sanwoo Lee, Hsiu-Yuan Huang, Yunfang Wu |
| 2024 | SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning. | Bin Wang, Zhengyuan Liu, Xin Huang, Fangkai Jiao, Yang Ding, AiTi Aw, Nancy F. Chen |
| 2024 | Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. | Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing |
| 2024 | The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation. | Lei Wang, Ee-Peng Lim |
| 2024 | Create! Don't Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation. | Letian Wang, Xianggen Liu, Jiancheng Lv |
| 2024 | Less is More for Improving Automatic Evaluation of Factual Consistency. | Tong Wang, Ninad Kulkarni, Yanjun Qi |
| 2024 | AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. | Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu |
| 2024 | RecMind: Large Language Model Powered Agent For Recommendation. | Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, Yingzhen Yang |
| 2024 | Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt. | Yongqi Wang, Ruofan Hu, Rongjie Huang, Zhiqing Hong, Ruiqi Li, Wenrui Liu, Fuming You, Tao Jin, Zhou Zhao |
| 2024 | Learning Mutually Informed Representations for Characters and Subwords. | Yilin Wang, Xinyi Hu, Matthew Gormley |
| 2024 | Assessing Factual Reliability of Large Language Model Knowledge. | Weixuan Wang, Barry Haddow, Alexandra Birch, Wei Peng |
| 2024 | Targeted Augmentation for Low-Resource Event Extraction. | Sijia Wang, Lifu Huang |
| 2024 | Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks. | Chonghua Wang, Haodong Duan, Songyang Zhang, Dahua Lin, Kai Chen |
| 2024 | HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. | Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev |
| 2024 | Edu-ConvoKit: An Open-Source Library for Education Conversation Data. | Rose E. Wang, Dorottya Demszky |
| 2024 | CMB: A Comprehensive Medical Benchmark in Chinese. | Xidong Wang, Guiming Chen, Dingjie Song, Zhiyi Zhang, Zhihong Chen, Qingying Xiao, Junying Chen, Feng Jiang, Jianquan Li, Xiang Wan, Benyou Wang, Haizhou Li |
| 2024 | Rehearsal-Free Modular and Compositional Continual Learning for Language Models. | Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strtgen, Hinrich Schtze |
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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*ACLAssociation for Computational Linguistics
- A*IJCAIInternational Joint Conference on Artificial Intelligence
- A*EMNLPEmpirical Methods in Natural Language Processing
- AGECCOGenetic and Evolutionary Computations