Applied & Human-Centered · Computer Science & AI
Information Retrieval
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979 papers, from 4 September 2026 to 5 November 2026: 979 arXiv preprints.
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Newest papers, page 25
SPARQL-LLM in the TEXT2SPARQL 2026 Challenge
Querying distributed data represented as Knowledge Graphs (KGs) via SPARQL remains a difficult task, requiring fluency in query syntax, endpoint specifications, and schema details.Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion
Large language models (LLMs) are now a standard source of query expansion terms but they hallucinate.RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics
As AI agents increasingly rely on external tools, accurate retrieval is essential for reliable behavior.Can Language Models Play the Wikipedia Game?
Language models increasingly support or automate information retrieval from document collections too large to index.Do you "see" what I "see"? A Multi-panel Visual Question Answer Dataset for Large Language Model Chart Analysis
Digital libraries increasingly host scientific publications whose figures encode primary research findings, yet making this visual content searchable, accessible, and reusable remains an open…Simple Linear Corrections for Compression in Late Interaction
Late-interaction (multi-vector) models represent documents using a set of token-level vectors, providing a middle ground between cross-encoders and dense encoders in terms of quality and cost of…Understanding and Mitigating Training Instability in Large-Scale Recommender Systems: A Cascade Perspective
Training large-scale recommender systems on dynamic industrial platforms, such as Short-Form Video (SFV) services with billions of daily interactions, faces critical stability challenges.Gated Memory: Admission-Controlled Memory Formation for Conversational AI
Personalized conversational AI relies on long-term memory systems that extract facts from user utterances and store them in persistent vector stores.H2CE: Modeling Geo-Semantic Interactions for POI Reranking with Heterogeneous Two-Stage Cross-Encoders
Point-of-Interest (POI) reranking in local search must model query-conditioned tradeoffs among lexical semantics, geospatial proximity, and numerical quality signals such as rating and review count…RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees
Retrieval-augmented generation (RAG) grounds language models in external corpora.On-Chain Archaeology of Bitcoin Oracles: Evidence of Use under Limited Observability
Before Ethereum made the "oracle problem" a household term, Bitcoin already had oracles serving as feeds, key-release services, federated signers, and arbiters that carried real value on the main…SAIL: Scientific Agentic Intelligence via a Science-Aware Loop
We introduce SAIL, an open model with 35B total and 3B active parameters for literature research, scientific coding, and multi-step research workflows.Beyond Resolution: Object-to-Image Ratio Mismatch in Instance Retrieval
Visual instance retrieval often fails when the same object appears at different apparent sizes in the query and gallery.Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering
Graph clustering is a fundamental task in data analysis, aiming at grouping nodes with similar characteristics in the graph into clusters.EVIE: Evidence-Vector-Informed Embeddings for Visual Document Retrieval
Accurate and scalable visual document retrieval (VDR) requires both fine-grained page understanding and efficient indexing, yet existing approaches struggle to achieve both.Overview of the NTCIR-19 Automatic Evaluation of LLMs 2 (AEOLLM-2) Task
In this paper, we provide an overview of the NTCIR-19 Automatic Evaluation of LLMs 2 (AEOLLM-2) task.SkillContrast: Difference-Guided Text Selection for Agent Skill Reranking
Similar agent skills can share instructions but differ in their conditions of use.Autoregressive Retriever: Improving Query Understanding from Item Feedback for Universal Multimodal Retrieval
Universal multimodal retrieval typically encodes a query once and ranks independently indexed items by embedding similarity.Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers
Dense retrievers have made significant progress on text and image corpora, but whether these capabilities extend reliably to mixed corpora containing text, image, and fused text-image documents…Project Greenhouse: Progress Toward Fully Open and Sovereign Agentic Search
Project Greenhouse represents our exploration of a simple thesis: We believe that it is possible to build fully open and sovereign models for agentic search with only modest computational resources.