Information Retrieval

Also known as IR

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38 papers in the last four weeks, up 111% on the four weeks before. 0.4% of all new papers.

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Latest papers 314

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Topic Is Not Agenda: A Citation-Community Audit of Text Embeddings
May 8, 2026Junseon YooText Embedding Evaluation Graph-Based Retrieval
Pluto Labs
Superintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval
May 7, 2026Zeyu Yang, Qi Ma, Jason Chen +1Agentic Retrieval Information Retrieval
Meta Superintelligence Labs · Rice University · Work done at Meta
GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation
May 7, 2026Zhonghui Zhang, Feng Jiang, Shaowei Qin +2Zero-Shot Learning Graph Retrieval-Augmented Generation
Artificial Intelligence Research Institute, Shenzhen University of Advanced Technology Shenzhen, China · Software College, Northeastern University Shenyang, China
ADEPT: An Entropy-Driven Dual-Strategy Agent for Interactive Video Retrieval
May 7, 2026Ke Chen, Shengyuan Han, Yongfeng Huang +4Conversational Search Agentic Retrieval
Institute of Science Tokyo, Japan · Nanjing University of Posts and Telecommunications, Jiangsu, China · The Chinese University of Hong Kong, Hong Kong SAR +3
OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
May 7, 2026Diane Tchuindjo, Devavrat Shah, Omar KhattabInformation Retrieval IR Evaluation
Massachusetts Institute of Technology, Cambridge, MA
Look Beyond Saliency: Low-Attention Guided Dual Encoding for Video Semantic Search
May 7, 2026Faisal Aljehrai, Mohammed A. Alkhrashi, Alreem Almuhrij +6Visual Representation Learning Information Retrieval
Saudi Data And Artificial Intelligence Authority (SDAIA)
Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
May 7, 2026Jun Li, Peifeng Lai, Xuhang Lou +5Cross-Modal Learning Evidential Deep Learning
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Peng Cheng Laboratory, Shenzhen, China · Harbin Institute of Technology, Shenzhen, China
Sheet as Token: A Graph-Enhanced Representation for Multi-Sheet Spreadsheet Understanding
May 7, 2026Yiming Lei, Yiqi Wang, Yujia Zhang +5Graph-Based Retrieval Information Retrieval
Effyic Technology Co., Ltd · UCLA · McGill University
DataDignity: Training Data Attribution for Large Language Models
May 7, 2026Xiaomin Li, Andrzej Banburski-Fahey, Jaron LanierLLM Auditing Information Retrieval
Microsoft
AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
May 7, 2026Susheel Suresh, Hazel Mak, Shangpo Chou +2Tool-Augmented Language Model Agents Agentic Search
Microsoft Corporation
Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
May 6, 2026Md Adnan Arefeen, Biplob Debnath, Ravi K. Rajendran +2Remote Sensing Image Understanding Image-Text Retrieval
NEC Laboratories America Princeton, NJ, USA
Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval
May 6, 2026Nicholas Barnfield, Juno Kim, Eshaan Nichani +2Information Retrieval Associative Memory
Harvard University · University of California, Berkeley · Princeton University
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
May 6, 2026Minjie Qiang, Mingming Zhang, Xiaoyi Bao +5Tabular Foundation Models Tabular ML
Natural Language Processing Lab, Soochow University, Suzhou, China · Ant Group, Hangzhou, China · The Hong Kong Polytechnic University, Hong Kong, China
Beyond Retrieval: A Multitask Benchmark and Model for Code Search
May 6, 2026Siqiao Xue, Zihan Liao, Jin Qin +4Learning to Rank Software Engineering Benchmarks
Ant Group · Alipay
SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States
May 6, 2026Zhenliang Zhang, Wenqing Wang, Yong Hu +4Document Understanding Long-Context QA
Peking University · WeChat, Tencent · Work done during an internship at WeChat, Tencent
Reproducing Complex Set-Compositional Information Retrieval
May 5, 2026Vincent Degenhart, Dewi Timman, Arjen P. de Vries +2Query Complexity Lexical Retrieval
Radboud University · Nijmegen, NL
The Pre-Training Study of Expanded-SPLADE Models on Web Document Titles
May 2, 2026Hiun Kim, Tae Kwan Lee, Taeryun WonLanguage Model Pretraining Masked Language Modeling
Naver Seongnam, South Korea
Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
May 2, 2026Jing Dong, Prakirt Raj Jhunjhunwala, Yash KanoriaInformation Retrieval Recommender Systems
Columbia Business School, Columbia University · Amazon.com Inc.
Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?
May 1, 2026Lennard C. Froma, Tom Kouwenhoven, Maaike H. T. de Boer +2LLM Evaluation Language Model Scaling
Leiden University - The Netherlands · TNO - The Netherlands · TU Delft - The Netherlands
H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations
May 1, 2026Passant Elchafei, Hossam Emam, Mohamed Alansary +2Retrieval-Augmented Generation Information Retrieval
1Johannes Kepler University Linz, Institute of Computational Perception, Linz, Austria · 3Independent Researcher, Egypt · 2Linz Institute of Technology, Artificial Intelligence Lab, Austria
FollowTable: A Benchmark for Instruction-Following Table Retrieval
May 1, 2026Rihui Jin, Yuchen Lu, Ting Zhang +7Information Retrieval Table Retrieval
Southeast University Nanjing, China Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education · Huawei Noah’s Ark Lab Shenzhen, China
EviMem: Evidence-Gap-Driven Iterative Retrieval for Long-Term Conversational Memory
Apr 30, 2026Yuyang Li, Yime He, Zeyu Zhang +1Multi-Hop QA Persistent Memory for Language Models
The Australian National University · UNSW Sydney
From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking
Apr 30, 2026Yilun Zhu, Nikhita Vedula, Shervin MalmasiKG Construction E-Commerce Search
Amazon.com, Inc. Seattle, USA
Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval
Apr 29, 2026Arne Eichholtz, Yongkang Li, Jutte Vijverberg +2Learning to Rank Hypernetworks
University of Amsterdam Amsterdam, The Netherlands
Health System Scale Semantic Search Across Unstructured Clinical Notes
Apr 28, 2026Faith Wavinya Mutinda, Spandana Makeneni, Anna Lin +14Healthcare Semantic Search
1) Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA · 2) Google Cloud, Sunnyvale, CA · 3) Department of Pediatrics, University of Pennsylvania, Philadelphia, PA +2
Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval
Apr 28, 2026Guosheng Zhang, Linkai Liu, Keyao Wang +3Multimodal Grounding Cross-Modal Alignment
Baidu Inc.
UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval
Apr 28, 2026Jongyoon Kim, Minseong Hwang, Seung-won HwangUnsupervised Domain Adaptation Domain Adaptation
Interdisciplinary Program in Artificial Intelligence, Seoul National University
SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
Apr 27, 2026Yuqing Fu, Yimin Deng, Wanyu Wang +9Multi-Hop QA Question Decomposition
City University of Hong Kong · Xi’an Jiaotong University · Michigan State University +2
Adaptive ToR: Complexity-Aware Tree-Based Retrieval for Pareto-Optimal Multi-Intent NLU
Apr 27, 2026Hee-Kyong Yoo, Wonbae Kim, Hyocheol AhnAdaptive Retrieval Intent Classification
Data Science Lab Co., Ltd., Seoul, Korea
Improving Robustness of Tabular Retrieval via Representational Stability
Apr 27, 2026Kushal Raj Bhandari, Adarsh Singh, Jianxi Gao +2Retrieval Robustness Information Retrieval
Department of Computer Science Arizona State University Tempe, Arizona, USA · ScaleAI San Francisco, CA, USA

May 8, 2026, cs.IRJ/K move · Enter open · S save

Topic Is Not Agenda: A Citation-Community Audit of Text Embeddings

Junseon Yoo

Pluto Labs

Text Embedding Evaluation Graph-Based Retrieval Information Retrieval IR Evaluation

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Vector search and retrieval-augmented generation (RAG) rest on the assumption that cosine similarity between text embeddings reflects conceptual relatedness. We measure where this assumption breaks. We build an augmented citation graph over 3.58M scientific papers and partition it via Leiden CPM at two granularities: sub-field (L1) and research-agenda (L2, hierarchical inside each L1). Four state-of-the-art embeddings (Gemini, Qwen3-8B, Qwen3-0.6B, SPECTER2) clear the L1 bar reasonably (45-52% top-10 same-rate) but stop working at L2: only 15-21% of top-10 neighbors share the query's research agenda. In absolute terms, 8 of every 10 retrieved papers are off-agenda. The failure is universal across eight scientific domains and all four models; SPECTER2, despite its citation-based contrastive training, is the weakest. As a diagnostic probe, we test whether the same augmented graph also functions as a retrieval signal: a deliberately simple citation-count rerank reaches 57.7% top-1 L2 on top of LLM-expanded Boolean retrieval and 59.6% on top of plain BM25, on 80 curated agenda queries -- about 9 points above the best cosine retriever (Gemini, 50.6%) and 20 points above BM25 alone (39.3%). The probe isolates a slice of the agenda-matching signal the graph carries but the embeddings miss, connecting recent theoretical limits on single-vector retrieval to a concrete failure mode of scientific RAG.

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Latest papers 314