🧑‍🔬 Who cites Jun Gao

204 citations of their works from 201 papers of our library (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · ← Jun Gao

1. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,922 citations
2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
3. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 938 citations
4. On the Sentence Embeddings from Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bohan Li, Hao Zhou, Junxian He, et al.2020 · 831 citations
5. ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanmeng Yan, Rumei Li, Sirui Wang, et al.2021 · 648 citations
6. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
7. ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningFindings of the Association for Computational LinguisticsViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 421 citations
8. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 355 citations
9. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Findings of the Association for Computational LinguisticsYubo Ma, Yixin Cao, Yong Hong, et al.2023 · 211 citations
10. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 196 citations
11. Norm-Based Curriculum Learning for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuebo Liu, Houtim Lai, Derek F. Wong, et al.2020 · 158 citations
12. All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational QualityConference on Empirical Methods in Natural Language Processing (EMNLP)William Timkey, Marten van Schijndel2021 · 139 citations
13. Analyzing Transformers in Embedding SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Guy Dar, Mor Geva, Ankit Gupta, et al.2023 · 129 citations
14. The case for 4-bit precision: k-bit Inference Scaling LawsarXiv:2212.09720Tim Dettmers, Luke Zettlemoyer2022 · 119 citations
15. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
16. Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.2024 · 19 citations
17. MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel DetectionDavid M. Smiley2026
18. MUC-4 Revisited: Document-level Event Analysis beyond Span-based ArgumentsLanguage Resources and Evaluation Conference (LREC)Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid2026

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