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 | Scaling Up Authorship Attribution. | Jacob Striebel, Abishek R. Edikala, Ethan Irby, Alex Rosenfeld, J. Gage, Daniel Dakota, Sandra Kbler |
| 2024 | Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study. | Alessandro Stolfo |
| 2024 | A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality. | Maja Stahl, Nadine Michel, Sebastian Kilsbach, Julian Schmidtke, Sara Rezat, Henning Wachsmuth |
| 2024 | LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues. | Joe Stacey, Jianpeng Cheng, John Torr, Tristan Guigue, Joris Driesen, Alexandru Coca, Mark Gaynor, Anders Johannsen |
| 2024 | What Makes Math Word Problems Challenging for LLMs? | KV Aditya Srivatsa, Ekaterina Kochmar |
| 2024 | HybridBERT - Making BERT Pretraining More Efficient Through Hybrid Mixture of Attention Mechanisms. | Gokul Srinivasagan, Simon Ostermann |
| 2024 | Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering. | Neha Srikanth, Rupak Sarkar, Heran Mane, Elizabeth Aparicio, Quynh C. Nguyen, Rachel Rudinger, Jordan L. Boyd-Graber |
| 2024 | Know When To Stop: A Study of Semantic Drift in Text Generation. | Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda |
| 2024 | LegalDiscourse: Interpreting When Laws Apply and To Whom. | Alexander Spangher, Zihan Xue, Te-Lin Wu, Mark Hansen, Jonathan May |
| 2024 | Measuring Cross-lingual Transfer in Bytes. | Leandro Rodrigues de Souza, Thales Sales Almeida, Roberto A. Lotufo, Rodrigo Frassetto Nogueira |
| 2024 | GEE! Grammar Error Explanation with Large Language Models. | Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer |
| 2024 | Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts. | Sai Ashish Somayajula, Youwei Liang, Li Zhang, Abhishek Singh, Pengtao Xie |
| 2024 | Language-Independent Representations Improve Zero-Shot Summarization. | Vladimir Solovyev, Danni Liu, Jan Niehues |
| 2024 | Multi-Review Fusion-in-Context. | Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan |
| 2024 | ATLAS: A System for PDF-centric Human Interaction Data Collection. | Alexa F. Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun |
| 2024 | Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. | Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | Generalizable Multilingual Hate Speech Detection on Low Resource Indian Languages using Fair Selection in Federated Learning. | Akshay Singh, Rahul Thakur |
| 2024 | Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. | Smriti Singh, Cornelia Caragea, Junyi Jessy Li |
| 2024 | Product Description and QA Assisted Self-Supervised Opinion Summarization. | Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Swaprava Nath, Pushpak Bhattacharyya |
| 2024 | Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. | Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daum III, Jordan L. Boyd-Graber |
| 2024 | MICo: Preventative Detoxification of Large Language Models through Inhibition Control. | Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan |
| 2024 | Anti-LM Decoding for Zero-shot In-context Machine Translation. | Suzanna Sia, Alexandra DeLucia, Kevin Duh |
| 2024 | You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. | Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Lajanugen Logeswaran, Moontae Lee, Dallas Card, David Jurgens |
| 2024 | The ART of LLM Refinement: Ask, Refine, and Trust. | Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz |
| 2024 | Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models. | Fobo Shi, Peijun Qing, Dong Yang, Nan Wang, Youbo Lei, Haonan Lu, Xiaodong Lin, Duantengchuan Li |
1,651–1,675 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