🧑‍🔬 Who cites Sheng-Chieh Lin

200 citations of their works from 193 papers of our library (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · ← Sheng-Chieh Lin

1. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationarXiv:2402.03216Jianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
2. Unsupervised Dense Information Retrieval with Contrastive LearningarXiv:2112.09118Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.2021 · 824 citations
   Precise Zero-Shot Dense Retrieval without Relevance LabelsAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Xueguang Ma, Jimmy Lin, et al.2022 · 545 citations
   ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 477 citations
3. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 319 citations
4. Large Dual Encoders Are Generalizable RetrieversarXiv:2112.07899Jianmo Ni, Chen Qu, Jing Lu, et al.2021 · 276 citations
5. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNeurIPS 2021 Datasets and BenchmarksNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021 · 262 citations
   RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-rankingConference on Empirical Methods in Natural Language Processing (EMNLP)Ruiyang Ren, Yingqi Qu, Jing Liu, et al.2021 · 256 citations
6. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 187 citations
   GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kexin Wang, Nandan Thakur, Nils Reimers, et al.2022 · 155 citations
7. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 145 citations
   Dense X Retrieval: What Retrieval Granularity Should We Use?Conference on Empirical Methods in Natural Language Processing (EMNLP)Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
8. Retrieval meets Long Context Large Language ModelsarXiv:2310.03025Peng Xu, Wei Ping, Xianchao Wu, et al.2023 · 129 citations
   InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
9. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
   How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense RetrievalFindings of the Association for Computational LinguisticsSheng-Chieh Lin, Akari Asai, Minghan Li, et al.2023 · 115 citations
   SimLM: Pre-training with Representation Bottleneck for Dense Passage RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wang, Nan Yang, Xiaolong Huang, et al.2023 · 106 citations
   Cross-document Event Coreference Search: Task, Dataset and ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Alon Eirew, Avi Caciularu, Ido Dagan2022 · 15 citations

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