Empirical Methods in Natural Language Processing
EMNLP
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
23.5% (2023 main conference)
Fields of research
Artificial Intelligence
Papers indexed
16,441
1996–2025
Papers per year
19963,494 peak2025
Most published authors
EMNLP papers
16,441 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Balancing Visual Context Understanding in Dialogue for Image Retrieval. | Zhaohui Wei, Lizi Liao, Xiaoyu Du, Xinguang Xiang |
| 2024 | Are LLMs Good Annotators for Discourse-level Event Relation Extraction? | Kangda Wei, Aayush Gautam, Ruihong Huang |
| 2024 | STAR: SocioTechnical Approach to Red Teaming Language Models. | Laura Weidinger, John Mellor, Bernat Guillen Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel Rodriguez, Verena Rieser, William Isaac |
| 2024 | Guided Knowledge Generation with Language Models for Commonsense Reasoning. | Xiao Wei, Haoran Chen, Hang Yu, Hao Fei, Qian Liu |
| 2024 | Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models. | Canshi Wei |
| 2024 | What's Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs. | Anna Wegmann, Tijs A. van den Broek, Dong Nguyen |
| 2024 | Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? | Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali |
| 2024 | PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data. | Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram |
| 2024 | Evaluating Language Model Character Traits. | Francis Rhys Ward, Zejia Yang, Alex Jackson, Randy Brown, Chandler Smith, Grace Colverd, Louis Thomson, Raymond Douglas, Patrik Bartak, Andrew Rowan |
| 2024 | The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. | Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang |
| 2024 | LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. | Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan |
| 2024 | OEE-CFC: A Dataset for Open Event Extraction from Chinese Financial Commentary. | Qizhi Wan, Changxuan Wan, Rong Hu, Dexi Liu, Xu Wenwu, Kang Xu, Zou Meihua, Liu Tao, Jie Yang, Zhenwei Xiong |
| 2024 | Knowledge Verification to Nip Hallucination in the Bud. | Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi |
| 2024 | Bridging Local Details and Global Context in Text-Attributed Graphs. | Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Liyunfei, Siliang Tang |
| 2024 | Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding. | Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen |
| 2024 | MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language. | Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin |
| 2024 | Sanitizing Large Language Models in Bug Detection with Data-Flow. | Chengpeng Wang, Wuqi Zhang, Zian Su, Xiangzhe Xu, Xiangyu Zhang |
| 2024 | InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance. | Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu |
| 2024 | TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts. | Ruida Wang, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang |
| 2024 | mDPO: Conditional Preference Optimization for Multimodal Large Language Models. | Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2024 | Reward Modeling Requires Automatic Adjustment Based on Data Quality. | Binghai Wang, Rui Zheng, Lu Chen, Zhiheng Xi, Wei Shen, Yuhao Zhou, Dong Yan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | Learning Personalized Alignment for Evaluating Open-ended Text Generation. | Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian |
| 2024 | Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. | Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley |
| 2024 | Knowledge Mechanisms in Large Language Models: A Survey and Perspective. | Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2024 | Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities. | Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang |
3,926–3,950 of 16,441← 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
- AGECCOGenetic and Evolutionary Computations
- ANAACLNorth American Association for Computational Linguistics