Scientific Document Retrieval

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25 papers7 papers in the last four weeks, up 133% on the four weeks before. 0.0% of all new papers.

Cross-Pollination Retrieval: Finding Transferable Ideas Across Fields in Scientific Literature
Oct 19, 2026Seokwon Jung, Yerang Kim, Yejin Kim +5Information Retrieval Scientific Document Retrieval
KAIST · Tübingen AI Center, University of Tübingen · NAVER AI Lab
KhyontekAI at CheckThat! 2026: Multilingual Dense Retrieval and Cross-Encoder Reranking for Scientific Web Claims
Oct 11, 2026Bhargab Jyoti Bhuyan, Pritam DekaScientific Document Retrieval Multilingual IR
Computer Science and Engineering Department, School of Engineering, Tezpur University, Assam, India · KhyontekAI, Guwahati, Assam, India
Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based Prompts
Oct 5, 2026Yanjun Chen, Yongfeng Zhang, Lanjing ZhangLLM Prompting LLM Reliability
Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA. · East Brunswick High School, East Brunswick, NJ, USA. · Department of Computer Science, Rutgers University, Piscataway, NJ, USA. +3
Benchmarking Literature Retrieval for a Model Organism: A Dictyostelium Case Study
Oct 2, 2026Yun Wang, Gad Shaulsky, Tomaž Curk +1Scientific Document Retrieval Biomedical IR
University of Ljubljana, Faculty of Computer and Information Science, Večna pot 113, 1000 Ljubljana, Slovenia · Department of Molecular and Human Genetics, Baylor College of Medicine, Baylor Plaza, Houston, TX 77030, USA
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
Oct 1, 2026Sohyeon Kim, Yoonho Lee, Bo Liu +11AI Agents for Scientific Discovery Agentic Search
Stanford University · Seoul National University · University of Washington +3
PathAnchor: Path-Structured Evidence for Scientific Agents
Sep 30, 2026Qiuhui Chen, Jiafan Lu, Shuaimin Tang +5Evidence-Grounded Reasoning Scientific QA
School of Information Science and Engineering, East China University of Science and Technology · College of Intelligent Robotics and Advanced Manufacturing, Fudan University · Tencent
Inspire: Benchmarking Scientific Literature Search for Open Research Problems
Sep 27, 2026Jianrong Ding, Zhengyan Shi, Jianyuan Zhong +5Scientific Document Retrieval Agentic Search
Department of Computer Science and Engineering, The Chinese University of Hong Kong · Microsoft Research Asia
Large Knowledge Model: A Knowledge Foundation for Agentic Science at Scale
Sep 23, 2026Yuan Huang, Sihan Hu, Hongyu Gu +18KG Construction AI Agents for Scientific Discovery
DP Technology, Beijing, China · Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, China · International Center for Quantum Materials, School of Physics, Peking University, Beijing, China +4
Lit3R: Retrieve-Relate-Read for Evidence-Grounded Question Answering over Scientific Literature
Sep 15, 2026Akira Ise, Kotaro Kumagai, Yuta Yamaguchi +3Scientific QA Evidence-Grounded Generation
♠Tokyo University of Science · ♣Dentsu Soken Inc. · ♡Studio Ousia
EGT-KG: Evidence-Grounded Typed KG Retrieval for Practical Scientific QA with Small Language Models
Aug 31, 2026Muran Yu, Jiechao Gao, Yuandong Pan +5Knowledge Graphs Small Language Models
Department of Civil and Environmental Engineering, Stanford University · Department of Civil Engineering, University of Calgary
RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature
Aug 27, 2026Maayan Sharon, Tom HopeAI-Assisted Scientific Research IR Evaluation
The Hebrew University of Jerusalem · The Allen Institute for AI (AI2)
GRAFT: Graph-Distilled Generative Retrieval for Facet-Aware Scientific Literature Exploration
Aug 23, 2026Italo Luis da Silva, Hanqi Yan, Yujing Wang +3Scientific Document Retrieval Information Retrieval
Department of Informatics King’s College London London, England, UK
LitTraceQA: A Benchmark for Multi-Stage Grounding and Verification in Scientific Question Answering
Aug 7, 2026Xuye Liu, Yimu Wang, Peng Shi +7Evidence-Grounded Generation Scientific QA
University of Waterloo · 2Amazon · 3City University of Hong Kong +1
SciRet: A Compute-Aware Empirical Study of Retrieval and Reranking for Scientific RAG
Aug 4, 2026Kaysarul Anas Apurba, Md. Hasibul Hasan, Rofiqul Alam Shehab +1Cross-Encoder Reranking Scientific QA
Laurentian University · North South University
AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
Jul 30, 2026Bing Yan, Gregory Wolfe, Stefano Martiniani +1AI-Assisted Scientific Research Information Retrieval
New York University · Matterstack, Inc.
SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration
Jul 23, 2026Yinhao Tang, Youqing Fang, Yanan Sun +6AI Agent Benchmarks Information Retrieval
University of Science and Technology of China · Shanghai AI Laboratory
From Overload to Insights: How AI Agents Can Support Scientists in Analyzing Complex Data
Jul 18, 2026Tim Fuchs, Luca Gelisio, Steffen Hauf +1AI for Science AI-Assisted Scientific Research
University of Hamburg Hamburg, Germany · European XFEL Schenefeld, Germany · Hasso Plattner Institute University of Potsdam Potsdam, Germany
Submitted and Diagnostic Analysis of Full-Text Temporal Retrieval for LongEval-Sci
Jul 5, 2026Yingdong Yang, Haijian WuTemporal IR Information Retrieval
Jena, Germany
Benchmarking LLM Agents on Meta-Analysis Articles from Nature Portfolio
Jun 15, 2026Anzhe Xie, Weihang Su, Yujia Zhou +2Systematic Review Automation AI-Assisted Scientific Research
Tsinghua University Beijing, China
SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
May 20, 2026Shuofei Qiao, Yunxiang Wei, Jiazheng Fan +8KG Construction AI-Assisted Scientific Research
Zhejiang University · University College London
Topic Is Not Agenda: A Citation-Community Audit of Text Embeddings
May 8, 2026Junseon YooText Embedding Evaluation Graph-Based Retrieval
Pluto Labs
AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
Apr 28, 2026Lei Xiong, Kun Luo, Ziyi Xia +15Deep Research Agents Scientific Discovery
AutoResearchBench Team*
Document-as-Image Representations Fall Short for Scientific Retrieval
Apr 20, 2026Ghazal Khalighinejad, Raghuveer Thirukovalluru, Alexander H. Oh +1Multimodal IR Information Retrieval
Department of Computer Science, Duke University
RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering
Apr 13, 2026Zhuoyu Wu, Wenhui Ou, Pei-Sze Tan +3Evidence Retrieval Scientific Document Retrieval
CyPhi (ΨΦ) AI Research Lab, School of IT, Monash University, Malaysia Campus · Department of Electronic & Computer Engineering, The Hong Kong University of Science and Technology · Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
Jul 14, 2025Sangwoo Park, Jinheon Baek, Soyeong Jeong +1Scientific Document Retrieval Information Retrieval
KAIST

Oct 19, 2026J/K move · Enter open · S save

Cross-Pollination Retrieval: Finding Transferable Ideas Across Fields in Scientific Literature

Seokwon Jung, Yerang Kim, Yejin Kim, Alexander Rubinstein+4

KAIST · Tübingen AI Center, University of Tübingen · NAVER AI Lab

Information Retrieval Scientific Document Retrieval IR Evaluation Cross-Domain Transfer Learning

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Many scientific advances come from cross-pollination, carrying an idea from one field over to a problem in another. Yet retrieving papers across fields remains underexplored, with existing benchmarks confined to a narrow range of fields. We study cross-pollination retrieval, the problem of identifying transferable ideas across research fields, and introduce CPR-Dataset, a large-scale dataset constructed by mining cross-topic citations. Its evaluation split CPR-eval has 1,300 queries in 26 fields, and its training split CPR-train has 10,573 pairs. On CPR-eval, the best of eleven existing retrievers reaches a Recall@10 of only 0.26, whereas an LLM reranker reaches 0.81. Standard contrastive fine-tuning on CPR-train raises Recall@10 to as high as 0.70. The gain carries over to domains held out from training and to analogy and reasoning-intensive retrieval. On AnaloBench, it raises nDCG@10 by up to 33% over the untrained retriever, whereas training on three existing retrieval datasets lowers it. On BRIGHT, it raises nDCG@10 by up to 70%, more than twice the gain from those datasets. CPR-Dataset is available at https://huggingface.co/CPR-Dataset, and the code at https://github.com/SeokwonJung-Jay/Cross-Pollination-Retrieval.