🧑‍🔬 Who cites Junlin Wu

144 citations of their works from 144 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Junlin Wu

1. MTEB: Massive Text Embedding BenchmarkConference of the European Chapter of the Association for Computational Linguistics (EACL)Niklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,032 citations
2. Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 790 citations
3. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
4. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsAnnual Meeting of the Association for Computational Linguistics (ACL)John Chung, Ece Kamar, Saleema Amershi2023 · 144 citations
5. What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
6. Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Xinyi Wang, Wanrong Zhu, Michael Saxon, et al.2023 · 116 citations
7. What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task LearningFindings of the Association for Computational LinguisticsJane Pan, Tianyu Gao, Howard Chen, et al.2023 · 102 citations
8. LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting ProblemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nan Xu, Xuezhe Ma2025 · 17 citations
9. EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in EnglishFindings of the Association for Computational LinguisticsWeicheng Ma, Samiha Datta, Lili Wang, et al.2022 · 13 citations
10. LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through ProbingAnnual Meeting of the Association for Computational Linguistics (ACL)Dario Di Palma, Alessandro De Bellis, Giovanni Servedio, et al.2025 · 10 citations
11. Sarcasm Detection in a Disaster ContextLanguage Resources and Evaluation Conference (LREC)Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea2024 · 8 citations
12. Bilingual BSARD: Extending Statutory Article Retrieval to DutchProceedings of the 1st Regulatory NLP Workshop (RegNLP 2025)Ehsan Lotfi, Nikolay Banar, Nerses Yuzbashyan, et al.2025 · 5 citations
13. A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Gonzalo Ariel Meyoyan, Luciano Del Corro2026
14. A Unified View on Emotion Representation in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aishwarya Maheswaran, Maunendra Sankar Desarkar2026
15. BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yue Wang, Ruotian Ma, Xingyu Chen, et al.2026
16. No Innocence in Styling: Discovery of Privacy Protection Capabilities and Security Risks in Consumer Generative AI Writing AssistantsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohd. Farhan Israk Soumik, Syed Mhamudul Hasan, Wanniarachchi Kankanamge Malithi Mithsara, et al.2026
17. Task-Related In-Context LearningFindings of the Association for Computational LinguisticsWenqiang Wang, Peng Chen, Yan Xiao, et al.2026
18. Linguistic Features in Automatic Sarcasm DetectionMartina Ducret, Lauren Kruse, Carlos Martinez, et al.2020

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