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 3
$τ$-Rec-Books: A Disclosure-Controlled Benchmark for Requirement Elicitation in Agentic Recommender Systems
While conversational recommendation systems provide a more natural user interface, they face the challenge of progressively discovering a user's needs before they can recommend an item that…Collaborative Search Meets Large Language Models: An Empirical Study
Collaborative search enables users to address complex information needs jointly.QueryFlow: Multi-Hop Graph Retrieval with Adaptive Query Evolution
Multi-hop retrieval-augmented generation (RAG) supports Web information seeking and fact verification by recovering complementary evidence across related pages within a limited retrieval budget.SPADE: Spatiotemporal Preference Alignment and Diversity Enhancement for Local Search
Proactive query recommendation aims to suggest relevant search queries to users on the homepage of local service apps.ZeroGR: Filtering-First Constrained Decoding for Generative Recommendation
Generative recommendation is gaining traction in production, retrieving items by generating their identifiers one token at a time.OneTrans-GSR: A Generative Slate Ranking Paradigm Unifying Reranking and Mix-Ranking with One Autoregressive Transformer
Industrial recommender systems allocate substantial computation to pointwise candidate scoring, yet separate reranking and mix-ranking stages still assemble the final exposure slate using…Learning to Rank Explanations for Recommendation with Language Models
Recommender systems are ubiquitous on the Web, making understandable explanations essential for users.Scaling Laws For Data-Constrained Dense Retrieval
Dense retrieval models are typically obtained by fine-tuning pretrained language models on supervised retrieval data, where high-quality annotations or interaction logs are often limited and reused…Auditing Multi-Proxy Explanations of Web User Preferences: Identification Boundaries and Abstention
Web systems infer user preferences from behavior, ratings, text, and LLM-generated profiles, yet explaining a proxy may reveal its measurement process rather than the preference of interest.When Category Means Move: A Paired-Support Audit of Recommendation Logs with Random Insertions
Content-category dashboards summarize production recommendation logs, although the serving policy selects the users, items, and contexts behind each mean.Dataset Recommendation for Heterogeneous and Dynamic Scholarly Graphs via Multimodal Representation Learning
Researchers struggle to find relevant datasets amid the growing volume of data across repositories and scholarly publications.Factorized MLLM Embeddings for Composed Image Retrieval
Composed Image Retrieval (CIR) aims to retrieve a target image given a reference image and a modification text.HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation
In LLM-based recommendation, memory acts as a user-level agent in a memory-augmented backbone.LIBRA: Programmatic Induction of Executable Tool Libraries
Large language model agents increasingly retrieve tools from large catalogs, yet most retrievers rank each tool independently by request similarity.RAGCompass: Generalizable Retriever Routing via Reranking
Different retrievers exist for retrieval-augmented generation, yet none performs best for all queries.Data-Efficient Scaling-Law Discovery for Recommendation Systems via Coupled Hyperparameter Scaling
Large-scale ranking and recommendation models of Web platforms benefit from increased compute much as large language models do, and their scaling behavior is broadly power-law in form.Combining Relevant Expert Knowledge Using Mixtures of Feedback Fuzzy Cognitive Maps
A neuro-symbolic system should combine only relevant answers from expert agents or other knowledge sources.Turbocharging PiPNN for Proximity and $k$-NN Graph Building
Graph-based Approximate Nearest Neighbor Search (ANNS) indexes such as HNSW and Vamana deliver state-of-the-art query performance at the cost of large indexing times.Toward a Compositional Knowledge Architecture for a Shared Organizational Cortex
Organizations accumulate evidence in conversations, documents, decisions and relationships, but they act on interpretations: judgements assembled from several observations, resting on assumptions…Multi-Teacher Reasoning Distillation for LLM Recommendation with Self-Exploration
Reasoning-augmented recommender systems (RecSys) enhance user preference modeling by generating reasoning trajectories over historical interactions before making recommendations.