A Deeper Investigation of the Importance of Wikipedia Links to the Success of Search Engines

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems

Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI

Diagnosable ColBERT: Debugging Late-Interaction Retrieval Models Using a Learned Latent Space as Reference

Enhancing Unsupervised Keyword Extraction in Academic Papers through Integrating Highlights with Abstract

CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation

IndiaFinBench: An Evaluation Benchmark for Large Language Model Performance on Indian Financial Regulatory Text

Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility

RARE: Redundancy-Aware Retrieval Evaluation Framework for High-Similarity Corpora

Personalized Benchmarking: Evaluating LLMs by Individual Preferences

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations

JFinTEB: Japanese Financial Text Embedding Benchmark

UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval

SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking

BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels

Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts

Collaborative Filtering Through Weighted Similarities of User and Item Embeddings

IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning

Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation

GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation

Uncertainty-aware Generative Learning Path Recommendation with Cognition-Adaptive Diffusion

CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations

Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG

NewsTorch: A PyTorch-based Toolkit for Learner-oriented News Recommendation

Controlling Authority Retrieval: A Missing Retrieval Objective for Authority-Governed Knowledge

APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation

Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends

Dual-Enhancement Product Bundling: Bridging Interactive Graph and Large Language Model

Evaluation of Agents under Simulated AI Marketplace Dynamics

Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine

TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds

Hybrid Retrieval for COVID-19 Literature: Comparing Rank Fusion and Projection Fusion with Diversity Reranking

FRAGATA: Semantic Retrieval of HPC Support Tickets via Hybrid RAG over 20 Years of Request Tracker History

Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate

From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines

Indexing Multimodal Language Models for Large-scale Image Retrieval

FRESCO: Benchmarking and Optimizing Re-rankers for Evolving Semantic Conflict in Retrieval-Augmented Generation

TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations

Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents

Knowledge Graph RAG: Agentic Crawling and Graph Construction in Enterprise Documents

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment

Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books

Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds

ATANT v1.1: Positioning Continuity Evaluation Against Memory, Long-Context, and Agentic-Memory Benchmarks

Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation

HeceTokenizer: A Syllable-Based Tokenization Approach for Turkish Retrieval

NSFL: A Post-Training Neuro-Symbolic Fuzzy Logic Framework for Boolean Operators in Neural Embeddings

Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution

ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification

MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations

Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions

PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong

Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA

MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits

PRAGMA: Revolut Foundation Model

Rag Performance Prediction for Question Answering

Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search

Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems

Hydra: Unifying Document Retrieval and Generation in a Single Vision-Language Model

SocialWise: LLM-Agentic Conversation Therapy for Individuals with Autism Spectrum Disorder to Enhance Communication Skills

Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models

Resolving the Robustness-Precision Trade-off in Financial RAG through Hybrid Document-Routed Retrieval

Spectral Tempering for Embedding Compression in Dense Passage Retrieval

AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation

To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammates

A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens

From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search

Hunt Globally: Wide Search AI Agents for Drug Asset Scouting in Investing, Business Development, and Competitive Intelligence

From Speech-to-Spatial: Grounding Utterances on A Live Shared View with Augmented Reality

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Exploring Structural Complexity in Normative RAG with Graph-based approaches: A case study on the ETSI Standards

SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation

Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation

AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows

Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults

RLPO: Residual Listwise Preference Optimization for Long-Context Review Ranking

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search

Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows

WisPaper: Your AI Scholar Search Engine

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs

Hierarchical Semantic Retrieval with Cobweb

WARBERT: A Hierarchical BERT-based Model for Web API Recommendation

Reliable Evaluation Protocol for Low-Precision Retrieval

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation

Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking

What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context

From Limited Labels to Open Domains:An Efficient Learning Method for Drone-view Geo-Localization

User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation

PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables

An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs

Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data

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