Jimmy Lin

Venues

Frequent coauthors

Papers

1. Assembling Your Personal AI Council in Yupp to Provide Multiple Perspectives
   WSDM 2026 · Jimmy Lin
2. Automating Generation of Long-Form Queries
   SIGIR 2026 ·

   Shivani Upadhyay

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3. BrowseComp-Plus: A Fair and Disentangled Evaluation Benchmark for Deep Search Agents
   ACL 2026 ·

   Zijian Chen

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4. Contrastive Learning Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data
   ECIR 2026 ·

   Manveer Singh Tamber

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5. Do We Still Need Text Features for Video Retrieval in the Era of Vision-Language Models?
   ECIR 2026 ·

   Jiaqi Samantha Zhan

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6. LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum
   SIGIR 2026 ·

   Zhichao Xu

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7. Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM
   SIGIR 2026 ·

   Sahel Sharifymoghaddam

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8. MCP Servers for Pyserini and RankLLM: Enabling Agentic Retrieval-Augmented Generation
   SIGIR 2026 ·

   Yijun Ge

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9. NanoKnow: How to Know What Your Language Model Knows
   SIGIR 2026 ·

   Lingwei Gu

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10. Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
    SIGIR 2026 ·

    Shengyao Zhuang

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11. Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents
    ACL 2026 ·

    Sahel Sharifymoghaddam

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12. Revisiting BM25 Feedback Models using HyDE
    SIGIR 2026 ·

    Nour Jedidi

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13. Understanding Multi-Structured Documents via LLMs'
    ECIR 2026 ·

    Shivani Upadhyay

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14. rosaOS: Agentic Operating System for Embodied LLMs
    ACL 2026 ·

    Yijun Ge

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15. Accelerating Listwise Reranking: Reproducing and Enhancing FIRST
    SIGIR 2025 ·

    Zijian Chen

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16. AfroBench: How Good are Large Language Models on African Languages?
    ACL 2025 ·

    Jessica Ojo

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17. Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human Evaluations
    SIGIR 2025 ·

    Nandan Thakur

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18. Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards
    EMNLP 2025 ·

    Manveer Singh Tamber

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19. Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
    VLDB 2025 ·

    Anas Dorbani

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20. CURE: A dataset for Clinical Understanding & Retrieval Evaluation
    SIGKDD 2025 ·

    Nadia Sheikh

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21. Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models
    NAACL 2025 ·

    Manveer Singh Tamber

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22. DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
    ACL 2025 ·

    Xueguang Ma

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23. Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks
    SIGIR 2025 ·

    Shengyao Zhuang

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24. FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
    NeurIPS 2025 ·

    Nandan Thakur

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25. Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini
    SIGIR 2025 · Jimmy Lin
26. Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
    EMNLP 2025 ·

    Nandan Thakur

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27. LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models
    ECIR 2025 ·

    Manveer Singh Tamber

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28. MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems
    NAACL 2025 ·

    Nandan Thakur

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29. Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS
    ICLR 2025 ·

    Sheng-Chieh Lin

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30. Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?
    ACL 2025 · Jimmy Lin
31. Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search
    ECIR 2025 ·

    Tommaso Teofili

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32. QuackIR: Retrieval in DuckDB and Other Relational Database Management Systems
    EMNLP 2025 ·

    Yijun Ge

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33. Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
    ECIR 2025 ·

    Ronak Pradeep

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34. Rank-Without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
    ECIR 2025 ·

    Crystina Zhang

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35. RankLLM: A Python Package for Reranking with LLMs
    SIGIR 2025 ·

    Sahel Sharifymoghaddam

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36. Study on LLMs for Promptagator-Style Dense Retriever Training
    CIKM 2025 ·

    Daniel Gwon

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37. Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality
    SIGIR 2025 ·

    Xueguang Ma

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38. The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
    SIGIR 2025 ·

    Ronak Pradeep

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39. The Impact of Incidental Multilingual Text on Cross-Lingual Transfer in Monolingual Retrieval
    ECIR 2025 ·

    Andrew Liu

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40. Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts?
    NAACL 2025 ·

    Crystina Zhang

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41. UniRAG: Universal Retrieval Augmentation for Large Vision Language Models
    NAACL 2025 ·

    Sahel Sharifymoghaddam

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42. VISA: Retrieval Augmented Generation with Visual Source Attribution
    ACL 2025 ·

    Xueguang Ma

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43. Zero-Shot ATC Coding with Large Language Models for Clinical Assessments
    NAACL 2025 ·

    Zijian Chen

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44. "Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
    EMNLP 2024 ·

    Nandan Thakur

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45. CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders
    NAACL 2024 ·

    Xinyu Zhang

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46. CIRAL: A Test Collection for CLIR Evaluations in African Languages
    SIGIR 2024 ·

    Mofetoluwa Adeyemi

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47. Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
    SIGIR 2024 ·

    Minghan Li

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48. ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models
    EMNLP 2024 ·

    Ronak Pradeep

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49. EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
    ACL 2024 ·

    Mohammad Dehghan

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50. FLAME : Factuality-Aware Alignment for Large Language Models
    NeurIPS 2024 ·

    Sheng-Chieh Lin

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51. Fine-Tuning LLaMA for Multi-Stage Text Retrieval
    SIGIR 2024 ·

    Xueguang Ma

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52. Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models
    NAACL 2024 ·

    Raphael Tang

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53. Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
    AAAI 2024 · Jimmy Lin
54. Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
    NAACL 2024 ·

    Nandan Thakur

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55. Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
    NeurIPS 2024 ·

    Minghan Li

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56. On Backbones and Training Regimes for Dense Retrieval in African Languages
    SIGIR 2024 ·

    Akintunde Oladipo

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57. PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
    EMNLP 2024 ·

    Shengyao Zhuang

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58. Reflections on the Coding Ability of LLMs for Analyzing Market Research Surveys
    SIGIR 2024 ·

    Shi Zong

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59. Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses
    SIGIR 2024 ·

    Ehsan Kamalloo

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60. Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR
    SIGIR 2024 ·

    Nandan Thakur

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61. Towards Robust QA Evaluation via Open LLMs
    SIGIR 2024 ·

    Ehsan Kamalloo

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62. Unifying Multimodal Retrieval via Document Screenshot Embedding
    EMNLP 2024 ·

    Xueguang Ma

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63. Vector Search with OpenAI Embeddings: Lucene Is All You Need
    WSDM 2024 ·

    Jasper Xian

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64. Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation
    EMNLP 2024 ·

    Raphael Tang

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65. Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages
    ACL 2024 ·

    Mofetoluwa Adeyemi

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