Jimmy Lin

University of Waterloo — Canada

Computer Science · Physical Sciences

80h-index22.3kcitations755works3.52yr avg
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Research Topics

Topic Modeling(370), Natural Language Processing Techniques(247), Information Retrieval and Search Behavior(83), Web Data Mining and Analysis(73), Multimodal Machine Learning Applications(68)

Publications755 total

Study on LLMs for Promptagator-Style Dense Retriever Training
2025Open Access
Study on LLMs for Promptagator-Style Dense Retriever Training
arXiv (Cornell University)·2025Open Access
BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
arXiv (Cornell University)·2025Open Access
CURE: A dataset for Clinical Understanding & Retrieval Evaluation
2025Open Access
A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA
2025· 1 cited
Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human Evaluations
2025Open Access
Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks
2025· 2 citedOpen Access
Accelerating Listwise Reranking: Reproducing and Enhancing FIRST
2025Open Access
RankLLM: A Python Package for Reranking with LLMs
2025· 4 citedOpen Access
Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality
2025Open Access
Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini
2025Open Access
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
2025· 2 citedOpen Access
Abstract A045: Unlocking deep learning for cell-free DNA-based early colorectal cancer detection
Clinical Cancer Research·2025
On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools
arXiv (Cornell University)·2025Open Access
Improving Multilingual Math Reasoning for African Languages
arXiv (Cornell University)·2025Open Access
Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data
arXiv (Cornell University)·2025Open Access
RankLLM: A Python Package for Reranking with LLMs
arXiv (Cornell University)·2025Open Access
Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
ArXiv.org·2025Open Access
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
arXiv (Cornell University)·2025Open Access
Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Rodrigo Nogueira(6), Wei Yang(5), Raphael Tang(4), Chris Dyer(3), Hua He(3), Michael C. Schatz(2), Pankaj Gupta(2), Aneesh Sharma(2), Ronak Pradeep(2), Peilin Yang(2), Hui Fang(2), Dina Demner‐Fushman(2), Xueguang Ma(2), Sheng-Chieh Lin(2), Jheng-Hong Yang(2), Susan Dumais(2), Michele Banko(2), Eric Brill(2), Andrew Y. Ng(2), Boris Katz(2)