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 | Characterizing Human and Zero-Shot GPT-3.5 Object-Similarity Judgments. | D. McKnight, Alona Fyshe |
| 2024 | Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. | Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace |
| 2024 | HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices. | Ruilong Ma, Xiang Yang, Jingyu Wang, Qi Qi, Haifeng Sun, Jing Wang, Zirui Zhuang, Jianxin Liao |
| 2024 | CNER: Concept and Named Entity Recognition. | Giuliano Martinelli, Francesco Molfese, Simone Tedeschi, Alberte Fernndez-Castro, Roberto Navigli |
| 2024 | Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls. | Amin Hosseiny Marani, Ulie Schnaithmann, Youngseo Son, Akil Iyer, Manas Paldhe, Arushi Raghuvanshi |
| 2024 | Beta-LR: Interpretable Logical Reasoning based on Beta Distribution. | Yizhuo Ma, Ke Qin, Shuang Liang |
| 2024 | Do Prompt Positions Really Matter? | Junyu Mao, Stuart E. Middleton, Mahesan Niranjan |
| 2024 | Visually Guided Generative Text-Layout Pre-training for Document Intelligence. | Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2024 | Investigating the Emergent Audio Classification Ability of ASR Foundation Models. | Rao Ma, Adian Liusie, Mark J. F. Gales, Kate M. Knill |
| 2024 | What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. | Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar |
| 2024 | ExpertQA: Expert-Curated Questions and Attributed Answers. | Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth |
| 2024 | The Role of n-gram Smoothing in the Age of Neural Networks. | Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell |
| 2024 | An Examination of the Compositionality of Large Generative Vision-Language Models. | Teli Ma, Rong Li, Junwei Liang |
| 2024 | Mitigating Bias for Question Answering Models by Tracking Bias Influence. | Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng |
| 2024 | DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation. | Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura |
| 2024 | Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models. | Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani |
| 2024 | VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder. | Yueen Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang, Irwin King |
| 2024 | Testing the Effect of Code Documentation on Large Language Model Code Understanding. | William Macke, Michael Doyle |
| 2024 | Anisotropy is Not Inherent to Transformers. | Anemily Machina, Robert E. Mercer |
| 2024 | Media Bias Detection Across Families of Language Models. | Iffat Maab, Edison Marrese-Taylor, Sebastian Pad, Yutaka Matsuo |
| 2024 | Task-Agnostic Detector for Insertion-Based Backdoor Attacks. | Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen |
| 2024 | LLM-Rec: Personalized Recommendation via Prompting Large Language Models. | Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo |
| 2024 | 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 |
| 2024 | Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. | Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp |
| 2024 | How are Prompts Different in Terms of Sensitivity? | Sheng Lu, Hendrik Schuff, Iryna Gurevych |
1,851–1,875 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