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 29
Rethinking Semantic ID Construction for Generative Recommendation: SimHash with Parallel Decoding and Semantic Alignment
Semantic ID-based generative recommendation represents each item as a sequence of discrete tokens, enabling structured modeling of item semantics.A Study of Prior Case Retrieval Using Lexical, Semantic, and Rhetorical Role Information in Indian Legal Documents
For retrieving prior cases in Indian legal judgments, the problem involves distinguishing relevant legal facts from mere lexical similarities because a prior case that shares a statute with the…ModelLakeFishing: Efficient Retrieval over Million-Scale Model Lakes
Open model lakes may contain millions of reusable models, making it costly to identify suitable models for a new dataset.Do We Still Need Gazetteers in the Era of LLMs? Chaining Retrieval with a Spatial Neuro-Symbolic Index
Geographic information retrieval (GeoIR) tasks require systems to interpret ambiguous toponyms for downstream applications.Agentic RAG Evaluation: Budget Allocation Across Questions, Trajectories, and Reads
Evaluation budgets in agentic retrieval-augmented generation span questions, search trajectories, and repeated answers.SearchJev: A Fast and Calibrated System-1 Model for Search Agents
Search agents repeatedly make short decisions about relevance, evidence sufficiency, and search actions.Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology
Gastric Adenocarcinoma is a leading cause of cancer mortality.Quality-Aware Cross-Model Computation Reuse
An intermediate result computed by one model can be reused by other models to perform their tasks.MemStrata: 95% and 90.91% Source-Aware Accuracy on LongMemEval-500 and LoCoMo-1540 with a Local Qwen 3.8 27B Q4_K_M Reader
An adequate conversational answer may differ from a short or incomplete benchmark reference.Search Engines Never Say No: How Frozen Agents React When the Retrieval Tool Refuses
A search tool never says no: it returns its top-k passages even when the index holds no answer, so the agent sees irrelevant text instead of a miss signal.OpticalRec: Unified Optical Vision-Language Representation for Multimodal Recommendation
Recent advances in vision-language modeling have substantially improved multimodal encoding, retrieval and reasoning.Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation
Industrial sequential recommender systems operate over massive item catalogs (e.g., 10^5--10^7 items).SCOUT: Supply-Aware Cold-Start Proactive Query Suggestion for Travel Search
Generative query suggestion, powered by Large Language Models (LLMs), has become increasingly popular in search and conversational systems to reduce user friction and guide intent formulation.Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment
Large Language Models (LLMs) have achieved remarkable capabilities but remain vulnerable to jailbreak attacks that elicit harmful or unsafe outputs.Multimodal Dual-Encoder Retrieval for Automated ICD Coding
Accurate International Classification of Diseases (ICD) coding is crucial for large-scale clinical research, documentation, and billing.From Valid to Useful: Post-Verification Acquisition for Recursive Self-Improving Recommendation
Sequential recommenders can generate synthetic interaction sequences and retrain on the augmented corpus in a recursive self-improvement loop.Query Generation with Direct Preference Optimization for Document Expansion in E-commerce Search
Doc2Query, a popular document expansion technique, leverages sequence-to-sequence models to generate relevant queries, effectively addressing the "vocabulary mismatch" problem in information…Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theories
A theory draws many independent observations into one framework with novel hypotheses.Learning Query Encoders Can Be Hard Even When Vector Retrieval Is Geometrically Easy
Efficient vector retrieval requires both a corpus geometry that supports retrieving the right documents through vector similarity, and a query encoder that can embed queries near their desired…Query-aware routing for Cross-lingual performance gains in Encoders
Multilingual encoders can exhibit reduced retrieval effectiveness when queries and relevant documents differ in language, despite strong same-language performance.