Key papers

• Are We Ready For An Agent-Native Memory System? (2026)
  Wei Zhou et al.
  13.45
• AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation (2026)
  Bao Long Nguyen Huu et al.
  5.88
• Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval (2026)
  Ivan Ji (Zihao) et al.
  5.01
• STRUCTSURVEY: Structured Agentic Retrieval for Automated Survey Paper Generation (2026)
  Paolo Pedinotti et al.
  5.01
• Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study (2026)
  Andrea Gerardo Russo et al.
  5.01
• CoPersona: Collaborative Persona Graphs for Robust LLM Personalization (2026)
  Yangtian Zhang et al.
  5.01
• Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts (2026)
  Valentin J. J. Kreileder et al.
  5.01
• Achieving Text-based Person Retrieval with Any Granularity (2026)
  Jialong Zuo et al.
  5.01
• Legal Nugget Extraction for Granular Retrieval over Long Jurisprudential Texts (2026)
  Lucas Pereira et al.
  5.01
• TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems (2026)
  Qingyun Liu et al.
  4.95
• BaRA: Budget-constrained and Reliable Web Data Collection Agent (2026)
  Soojeong Lee et al.
  4.39
• SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction (2026)
  Sin Yu Bonnie Ho et al.
  4.39
• Libra: Training the Environment for Agentic Information Retrieval (2026)
  Xuan Zhao et al.
  4.39
• Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory (2026)
  ZhiShu Jiang et al.
  4.39
• Seeing and Reflecting: Multimodal Memory-Enhanced Agent Collaboration for Recommendation (2026)
  Hao Cong et al.
  4.39
• Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents (2026)
  Yuxin Wang et al.
  4.33
• TheoremGraph: Bridging Formal and Informal Mathematics (2026)
  Simon Kurgan et al.
  4.33
• DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums (2026)
  Dana Rezazadegan et al.
  4.33
• Single and Multi Truth Data Fusion using Large Language Models (2026)
  Hira Beril Kucuk et al.
  4.33
• Benchmarking LLM Agents on Meta-Analysis Articles from Nature Portfolio (2026)
  Anzhe Xie et al.
  4.20
• Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search (2026)
  Md Omar Faruk Rokon et al.
  3.45
• Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs (2026)
  Tianyu Ding et al.
  3.45
• Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders (2026)
  Md Omar Faruk Rokon et al.
  3.45
• SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation (2026)
  Yiming Zhang et al.
  2.00
• A Survey of Reasoning-Intensive Retrieval: Progress and Challenges (2026)
  Yiyang Wei et al.
  1.89
• EcoGEO: Trajectory-Aware Evidence Ecosystems for Web-Enabled LLM Search Agents (2026)
  Hengwei Ye et al.
  1.89
• Towards Recursive Self-Evolving Agentic Literature Retrieval (2026)
  Yuwen Du et al.
  1.89
• Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising (2026)
  Sijia Li et al.
  1.83
• VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation (2026)
  Junyoung Kim et al.
  1.78
• Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback (2026)
  Sein Kim et al.
  1.72
• MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders (2026)
  Xu Huang et al.
  1.72
• LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering (2026)
  Rafid Ishrak Jahan et al.
  1.72
• Bridging Semantic Understanding and Popularity Bias with LLMs (2026)
  Renqiang Luo et al.
  1.67
• Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning (2026)
  Fengran Mo et al.
  1.67
• Supporting Humans in Evaluating AI Summaries of Legal Depositions (2026)
  Naghmeh Farzi et al.
  1.67
• UserSimCRS v2: Simulation-Based Evaluation for Conversational Recommender Systems (2025)
  Nolwenn Bernard and Krisztian Balog
  1.61
• Controlling Gender Bias in Retrieval via a Backpack Architecture (2025)
  Amirabbas Afzali et al.
  1.56
• A Survey of Long-Document Retrieval in the PLM and LLM Era (2025)
  Minghan Li et al.
  1.44
• Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation (2025)
  Haozhe Xu et al.
  1.39
• M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation (2025)
  Zhiyou Xiao et al.
  1.39
• GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion (2025)
  Sunkyung Lee et al.
  1.28
• Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models (2025)
  Camille Couturier et al.
  1.22
• Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation (2025)
  Liuji Chen et al.
  1.22
• Hierarchical Re-ranker Retriever (HRR) (2025)
  Ashish Singh and Priti Mohapatra
  1.11
• Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking (2025)
  Kevin Roitero et al.
  1.00
• Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM (2023)
  Bin Yin et al.
  —
• Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models (2023)
  Fan Liu et al.
  —
• TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview (2024)
  Mohammad Aliannejadi and Zahra Abbasiantaeb and Shubham Chatterjee and Jeffery Dalton and Leif Azzopardi
  —
• Aligning Language Models for Versatile Text-based Item Retrieval (2024)
  Yuxuan Lei et al.
  —
• Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models (2024)
  Ying-Chun Lin et al.
  —
• Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling (2024)
  Jie Wang et al.
  —
• Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation (2024)
  Xingwei Tan et al.
  —
• Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion (2024)
  Anton Korikov et al.
  —
• Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study (2024)
  Qi Liu et al.
  —