Conference on Empirical Methods in Natural Language Processing (EMNLP)

h5-index:218
h5-median:323

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2020-2024 have at least h citations each.hide

h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide

Title / Author	Cited by	Year
Transformers: State-of-the-Art Natural Language Processing. T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ... EMNLP (Demos), 38-45	6927	2020
The Power of Scale for Parameter-Efficient Prompt Tuning B Lester, R Al-Rfou, N Constant Proceedings of the 2021 Conference on Empirical Methods in Natural Language …	4875	2021
Dense Passage Retrieval for Open-Domain Question Answering V Karpukhin, B Oguz, S Min, P Lewis, L Wu, S Edunov, D Chen, W Yih Proceedings of the 2020 Conference on Empirical Methods in Natural Language …	4271	2020
SimCSE: Simple Contrastive Learning of Sentence Embeddings T Gao, X Yao, D Chen Proceedings of the 2021 Conference on Empirical Methods in Natural Language …	4028	2021
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... EMNLP (Findings), 1536-1547	3553	2020
TinyBERT: Distilling BERT for Natural Language Understanding. X Jiao, Y Yin, L Shang, X Jiang, X Chen, L Li, F Wang, Q Liu EMNLP (Findings), 4163-4174	2284	2020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts T Shin, Y Razeghi, RL Logan IV, E Wallace, S Singh Proceedings of the 2020 Conference on Empirical Methods in Natural Language …	2194	2020
A Survey on In-context Learning Q Dong, L Li, D Dai, C Zheng, J Ma, R Li, H Xia, J Xu, Z Wu, B Chang, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …	2114	2024
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Y Wang, W Wang, S Joty, SCH Hoi Proceedings of the 2021 Conference on Empirical Methods in Natural Language …	1905	2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning J Hessel, A Holtzman, M Forbes, R Le Bras, Y Choi Proceedings of the 2021 Conference on Empirical Methods in Natural Language …	1791	2021
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? S Min, X Lyu, A Holtzman, M Artetxe, M Lewis, H Hajishirzi, L Zettlemoyer Proceedings of the 2022 Conference on Empirical Methods in Natural Language …	1590	2022
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …	1405	2023
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. S Gehman, S Gururangan, M Sap, Y Choi, NA Smith EMNLP (Findings), 3356-3369	1395	2020
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation N Reimers, I Gurevych Proceedings of the 2020 Conference on Empirical Methods in Natural Language …	1307	2020
Evaluating Object Hallucination in Large Vision-Language Models Y Li, Y Du, K Zhou, J Wang, WX Zhao, JR Wen Proceedings of the 2023 Conference on Empirical Methods in Natural Language …	1188	2023
COMET: A Neural Framework for MT Evaluation R Rei, C Stewart, AC Farinha, A Lavie Proceedings of the 2020 Conference on Empirical Methods in Natural Language …	1172	2020
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. H Zhang, X Li, L Bing EMNLP (Demos), 543-553	1161	2023
BERTweet: A pre-trained language model for English Tweets. DQ Nguyen, T Vu, AT Nguyen EMNLP (Demos), 9-14	1152	2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model? A Roberts, C Raffel, N Shazeer Proceedings of the 2020 Conference on Empirical Methods in Natural Language …	1015	2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. F Barbieri, J Camacho-Collados, LE Anke, L Neves EMNLP (Findings), 1644-1650	989	2020

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Dates and citation counts are estimated and are determined automatically by a computer program.