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 11
DPE-Rec: Diversity-Preserving and Efficient Diffusion Language Model Recommendation for Bundle Construction
Generative bundle construction completes a partially observed bundle by generating its missing items from a large product catalog.Discovering Topics from Linear Autoencoders
Linear recommenders and topic models are similar in that they implicitly learn from co-occurrences of items.SLIDE: Search-to-List Item Distillation for Single-Rollout Generative Retrieval
Generative retrieval (GR) typically relies on item-level beam search to retrieve candidates, leaving cross-item dependencies unmodeled and limiting direct optimization of list-level objectives.CA-HNM: Constraint-Aware Hard Negative Mining for Dense Retrieval with Structured Domain Models
Dense retrievers are commonly trained with hard negatives selected from lexical or dense retrieval results.Hallucination-Aware Multi-Agent RAG via Internal Attention Rewards
Retrieval-augmented generation (RAG) grounds language models in retrieved evidence, but its outputs often contain claims unsupported by that evidence.Reading the Registers of Honorius III without Manual Line Transcription: Forced-Aligned HTR, End to End, Modular or Hybrid
Unlocking medieval archives at scale is bottlenecked by the cost of line-level diplomatic transcriptions and manual abbreviation expansion.Learning to Remember: Advances in Memory Mechanisms for Large Language Models
Memory has become a central mechanism for extending large language models (LLMs) beyond fixed context windows, stateless interaction, and static parametric knowledge.Useful Diversity or Hallucinated Variety? Persona-Conditioned Synthetic Query Generation for E-Commerce Search
Synthetic supervision can bootstrap semantic parsers in new search domains, but prompt-induced diversity is useful only when generations are faithful to the structured intent.When Fusion Order Matters: Insights on Progressive Multimodal Representation Learning for Cross-modal Retrieval
Multimodal video retrieval combines visual, acoustic, and speech information, yet how their fusion order should depend on the data and the retrieval query remains unclear.Reading Beyond OCR Noise: Robust Cross-Lingual RAG for Legislative Archives
India's historical public archives present severe computer vision and document image analysis challenges: decades of parliamentary records survive only as degraded, multi-column scanned pages…Octen-WebGR: Scaling Generative Retrieval to 200 Million Web Pages
Navigational search aims to find a single target page among hundreds of millions of web pages.Unified Heterogeneous Feature Interaction via Effective-Rank Scaling for Recommender Systems
Large-scale industrial ranking models must jointly capture heterogeneous feature interactions, long-term user behaviors, and multi-scenario dependencies under stringent online serving constraints.CRIM: Composable and Reusable Item Memory for Efficient Personalized Retrieval
Large language models incur substantial training and inference costs in personalized search and recommendation, as growing interaction histories lengthen request inputs and repeatedly expose the…Agreement Between Reconstructed and Native GDELT GKG Records: A Field-Level Baseline
The Global Knowledge Graph (GKG) of the Global Database of Events, Language, and Tone (GDELT) characterizes news articles using named entities, topics, quantitative and temporal features…Read the Route: Attention-Steered Hypergraph Retrieval for Multi-hop RAG
Graph-based retrieval-augmented generation (GraphRAG) answers multi-hop questions by organizing a corpus into a graph and retrieving along its structure.Beyond "[at]": A Large-Scale Measurement of Email Address Presentation on Computer Science Scholars' Homepages
Publishing an email address makes a scholar reachable, but also exposes it to automated collection.Hypergraph-Enhanced Evidence Selection for Long-Context Multimodal Document QA
Long-context multimodal document question answering (QA) has become an important yet challenging task for modern vision-language models (VLMs), as it requires reasoning over evidence dispersed…Tiny Suffix Arrays
Suffix array and inverse suffix array queries on a text of length $n$ can be answered in $\widetilde{O}(τ^3)$ time using an auxiliary data structure occupying $O(n/τ)$ words, for any $τ\in [1,n]$.Cross-Domain Sequential Recommendation with Representation-Level User Transfer
Cross-domain sequential recommendation aims to improve next-item prediction in a target domain by leveraging user behavior from auxiliary source domains.Towards a Unified Framework of Optimal Input-Side Dimensional Configuration for Deep CTR Prediction
Deep click-through rate (CTR) prediction has achieved substantial success through increasingly expressive feature interaction architectures.