Applied & Human-Centered · Computer Science & AI
Information Retrieval
The newest papers in Information Retrieval that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
979 papers, from 4 September 2026 to 5 November 2026: 979 arXiv preprints.
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Newest papers, page 39
Dual-Hypergraph Indexing: Bridging Knowledge Islands for Multi-Hop Reasoning in Retrieval-Augmented Generation
While hypergraph-based Retrieval-Augmented Generation (RAG) effectively captures higher-order multi-entity correlations, existing paradigms treat extracted hyperedges as isolated factual assertions.Entangle: Uncovering Collaboration in the GitHub Quantum Software Ecosystem
Quantum computing is moving from research laboratories towards early commercialization and broader socio-technical adoption, supported by sustained hardware progress and a rapidly expanding…Beyond a Scalar: Distributional Serving Interfaces for Watch-Time Prediction
Watch time is the primary engagement signal in short video feeds, and its prediction directly affects ranking and exposure.MultiVENT-Raw: A Benchmark for Retrieval and Reasoning over Raw Videos
Online information is increasingly consumed in video format.OneTrans-V2: Unifying Retrieval, Pre-rank, and Fine-rank with One Transformer in Industrial Recommender
Industrial recommendation systems typically operate as a \emph{cascade} of retrieval, pre-rank, and fine-rank, but these stages are usually trained and served as separate models, causing repeated…The Fellowship of the Query: Learning Retrieval Actions
Retrieval-augmented question answering requires control decisions about when to decompose a question, search, reformulate, extract evidence, synthesize facts, verify progress, and stop.Reinforcement Learning with Verifiable Rewards for Small Search Agents
Reinforcement Learning with Verifiable Rewards (RLVR) performs well on problems with clear rewards, such as mathematics and coding, but whether it also works where the reward is less clear remains…Robust Fusion of Semantic and Behavioural Signals for LLM Reranking in Personalised Search
Personalised search must satisfy query intent while incorporating user context and historical interactions.ARAFA: An LLM-Generated Arabic Fact-Checking Dataset
Automatic fact-checking poses a significant challenge in Arabic natural language processing due to the scarcity of datasets and resources.Knowledge-as-Skill: A Structural Design for Autonomous Knowledge-Base Use by LLM Agents
Retrieval-augmented generation (RAG) gives large language models (LLMs) access to external knowledge, but its conventional retrieve-concatenate-generate pipeline makes retrieval decisions on behalf…Discovery-Driven Integration of Disjoint Tables via Text
Integrating heterogeneous datasets within data lakes is a critical challenge, particularly for semantically related tables that lack the explicit attributes needed to be joined.SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Long-term conversational memory in multi-party settings requires more than retrieving relevant content from long-term conversations: it must distinguish who said what, whom each statement concerns…ItColBERT: An Italian-Specialised Late-Interaction Retriever
Neural information retrieval for Italian is served almost entirely by multilingual models.Distilling Lexical Product Associations into Deep Transformers: An Extreme Multi-Label Approach for Natural Language E-Commerce Search
Traditional e-commerce search platforms rely heavily on inverted indices and token-level lexical matching algorithms (e.g., BM25 and TF-IDF), which frequently fail on conversational, intent-driven…Calibrating Reproduced Claims in Recommender Systems
Reproduction studies can produce mixed outcomes.When Learned Context Planning Fails to Beat Strong Retrieval: A Controlled Study of Planning, Routing, and Reranking for Long-Context QA
Learned context planning selects evidence atoms before an answer model reasons over them.Tie Handling Is Part of the Evaluation Protocol: An Order-Invariance Audit for Tie-Heavy Recommender Scores
Offline top-k evaluation often ranks one held-out relevant item together with sampled negatives.LEGO: Synergizing Expert GraphRAG and Expert Chain-of-Thought for Legal Reasoning
Large language models are increasingly applied to high-risk domains such as law, yet complex legal reasoning remains limited by two structural challenges.UniK: Universal Knowledge Perception for Digital and Physical AI
Two transformative classes of AI systems are reshaping how organizations operate: \textit{digital AI}, which reasons over enterprise knowledge to power chatbots and agent workflows; and…When More Evidence Hurts: Publication-Bias Drift and Principled Stopping for Biomedical Causal Search
Automated biomedical evidence synthesis depends on retrieving published studies, but the biomedical literature is systematically skewed toward positive findings.