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 |
|---|---|---|
| 2025 | Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning. | Sungjin Park, Xiao Liu, Yeyun Gong, Edward Choi |
| 2025 | DART: An AIGT Detector using AMR of Rephrased Text. | Hyeonchu Park, Byungjun Kim, Bugeun Kim |
| 2025 | Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard. | Chanjun Park, Hyeonwoo Kim |
| 2025 | Evaluating Multimodal Generative AI with Korean Educational Standards. | Sanghee Park, Geewook Kim |
| 2025 | Conflict and Overlap Classification in Construction Standards Using a Large Language Model. | Seong-Jin Park, Youn-Gyu Jin, Hyun-Young Moon, Bong-Hyuck Choi, Seung Hwan Lee, Ohjoon Kwon, Kang-Min Kim |
| 2025 | Leveraging Moment Injection for Enhanced Semi-supervised Natural Language Inference with Large Language Models. | Seo Yeon Park |
| 2025 | Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis. | Angelina Parfenova, Andreas Marfurt, Jrgen Pfeffer, Alexander Denzler |
| 2025 | Dynamic Strategy Planning for Efficient Question Answering with Large Language Models. | Tanmay Parekh, Pradyot Prakash, Alexander Radovic, Akshay Shekher, Denis Savenkov |
| 2025 | Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models. | Dinghao Pan, Yuanyuan Sun, Bo Xu, Jiru Li, Zhihao Yang, Ling Luo, Hongfei Lin, Jian Wang |
| 2025 | ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. | Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu |
| 2025 | WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents. | Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu |
| 2025 | NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models. | Pranshu Pandya, Vatsal Gupta, Agney S. Talwarr, Tushar Kataria, Dan Roth, Vivek Gupta |
| 2025 | SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation. | Saurabh Kumar Pandey, Sachin Vashistha, Debrup Das, Somak Aditya, Monojit Choudhury |
| 2025 | Are explicit belief representations necessary? A comparison between Large Language Models and Bayesian probabilistic models. | Dingyi Pan, Benjamin K. Bergen |
| 2025 | PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. | Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang |
| 2025 | Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services. | Alonso Palomino, Andreas Fischer, David Buschhter, Roland Roller, Niels Pinkwart, Benjamin Paassen |
| 2025 | Granite Guardian: Comprehensive LLM Safeguarding. | Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martn Santilln Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri |
| 2025 | SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection. | Sindhu Padakandla, Sadbhavana Babar, Rathod Darshan D, Manohar Kaul |
| 2025 | LLM DEBATE OPPONENT : Counter-argument Generation focusing on Implicit and Critical Premises. | Taisei Ozaki, Chihiro Nakagawa, Naoya Inoue, Shoichi Naito, Kenshi Yamaguchi |
| 2025 | Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models. | Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe |
| 2025 | Anticipating Future with Large Language Model for Simultaneous Machine Translation. | Siqi Ouyang, Oleksii Hrinchuk, Zhehuai Chen, Vitaly Lavrukhin, Jagadeesh Balam, Lei Li, Boris Ginsburg |
| 2025 | Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. | Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou |
| 2025 | Representing and Clustering Errors in Offensive Language Detection. | Jood Otey, Laura Biester, Steven R. Wilson |
| 2025 | Natural Language Processing for Human Resources: A Survey. | Naoki Otani, Nikita Bhutani, Estevam Hruschka |
| 2025 | JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation. | Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Kazuki Egashira, Jeonghun Baek, Xiang Yue, Graham Neubig, Kiyoharu Aizawa |
551–575 of 7,329← 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*ACLAssociation for Computational Linguistics
- A*IJCAIInternational Joint Conference on Artificial Intelligence
- A*EMNLPEmpirical Methods in Natural Language Processing
- AGECCOGenetic and Evolutionary Computations