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Who cites Jialin Liu

485 citations of their works from 485 papers of our library (of the 149,439 whose bibliographies we read) · 82 with a page here, the most cited first · ← Jialin Liu

  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 · 836 citations
  3. Atlas: Few-shot Learning with Retrieval Augmented Language ModelsarXiv:2208.03299Gautier Izacard, Patrick Lewis, Maria Lomeli, et al.2022 · 673 citations
  4. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 598 citations
  5. Towards General Text Embeddings with Multi-stage Contrastive LearningarXiv:2308.03281Zehan Li, Xin Zhang, Yanzhao Zhang, et al.2023 · 384 citations
  6. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
  7. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
  8. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  9. Large Dual Encoders Are Generalizable RetrieversarXiv:2112.07899Jianmo Ni, Chen Qu, Jing Lu, et al.2021 · 280 citations
  10. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNeurIPS 2021 Datasets and BenchmarksNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021 · 265 citations
  11. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  12. Tool Learning with Large Language Models: A SurveyFrontiers of Computer ScienceChangle Qu, Sunhao Dai, Xiaochi Wei, et al.2024 · 195 citations
  13. Promptagator: Few-shot Dense Retrieval From 8 ExamplesarXiv:2209.11755Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 170 citations
  14. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
  15. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  16. SPLADE v2: Sparse Lexical and Expansion Model for Information RetrievalarXiv:2109.10086Thibault Formal, Carlos Lassance, Benjamin Piwowarski, et al.2021 · 83 citations
  17. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
  18. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation ResearcharXiv:2405.13576Jiajie Jin, Yutao Zhu, Guanting Dong, et al.2024 · 77 citations
  19. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 74 citations
  20. Making Text Embedders Few-Shot LearnersarXiv:2409.15700Chaofan Li, MingHao Qin, Shitao Xiao, et al.2024 · 60 citations
  21. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?arXiv:2406.13121Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.2024 · 53 citations
  22. Large Language Models are Strong Zero-Shot RetrieverarXiv:2304.14233Tao Shen, Guodong Long, Xiubo Geng, et al.2023 · 26 citations
  23. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
  24. AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction TuningarXiv:2602.09914Tilahun Yeshambel, Moncef Garouani, Josiane Mothe2026
  25. IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 EnglisharXiv:2609.15618Ana-Maria Luisa Mocanu, Sebastian Mocanu, Ciprian-Octavian Truica, et al.2026

403 more citing papers of our library have no page here yet.

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