Key papers

• AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation (2026)
  Bao Long Nguyen Huu et al.
  5.88
• Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval (2026)
  Jingjing Zhang et al.
  5.49
• IntentTune: Using user demand and personalization to resolve "unknown" query intents for e-commerce search (2026)
  Rachith Aiyappa et al.
  5.49
• Office Comprehension Benchmark (2026)
  Firoz Shaik et al.
  5.01
• SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions (2025)
  Panayiotis Smeros et al.
  4.80
• 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
• Aligning Sentence Embeddings to Human Concepts via Sparse Autoencoders (2026)
  Wonseok Shin et al.
  4.39
• Diffusion-GR2: Diffusion Generative Reasoning Re-ranker (2026)
  Zhuoxuan Zhang (Yang) et al.
  4.39
• HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report (2026)
  Minghao Li et al.
  4.39
• Building a privacy-preserving Federated Recommender system for mobile devices (2026)
  Aasheesh Singh
  4.27
• How Does Empowering Users with Greater System Control Affect News Filter Bubbles? (2026)
  Ping Liu et al.
  3.51
• PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest (2026)
  Olafur Gudmundsson et al.
  3.51
• SIREN (Luring LLMs onto the Rocks): PAIR-Driven Preference Manipulation in Web-RAG Recommenders (2026)
  Evan Caville et al.
  2.00
• Reflector: Arrangement-Aware Harmonic Retrieval for Sample-Based Composition (2026)
  Austin Rockman
  2.00
• RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation (2026)
  Renzhi Wu et al.
  1.94
• SURE-RAG: Sufficiency and Uncertainty-Aware Evidence Verification for Selective Retrieval-Augmented Generation (2026)
  Jingxi Qiu et al.
  1.89
• Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics (2026)
  Chao Zhou
  1.89
• FD-RAG: Federated Dual-System Retrieval-Augmented Generation (2026)
  Tianhao Gao et al.
  1.89
• A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG (2026)
  Junjie Mu and Qiongxiu Li
  1.89
• Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval (2026)
  Yu Liu et al.
  1.83
• Agentic SPARQL: Evaluating SPARQL-MCP-powered Intelligent Agents on the Federated KGQA Benchmark (2026)
  Daniel Dobriy et al.
  1.78
• Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations (2026)
  Fernando Spadea and Oshani Seneviratne
  1.78
• FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing (2026)
  Zhenxing Yan et al.
  1.78
• Low-pass Personalized Subgraph Federated Recommendation (2026)
  Wooseok Sim and Hogun Park
  1.78
• Supercharging Federated Intelligence Retrieval (2026)
  Dimitris Stripelis et al.
  1.78
• Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation (2026)
  Yuchun Tu et al.
  1.72
• When the Server Steps In: Calibrated Updates for Fair Federated Learning (2026)
  Tianrun Yu et al.
  1.67
• Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation (2025)
  Loc X. Nguyen et al.
  1.61
• Federated Continual Recommendation (2025)
  Jaehyung Lim et al.
  1.39
• A Large-Scale Web Search Dataset for Federated Online Learning to Rank (2025)
  Marcel Gregoriadis et al.
  1.39
• A Model-agnostic Strategy to Mitigate Embedding Degradation in Personalized Federated Recommendation (2025)
  Jiakui Shen et al.
  1.39
• A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions (2025)
  Yunqi Mi et al.
  1.39
• FedFlex: Federated Learning for Diverse Netflix Recommendations (2025)
  Sven Lankester et al.
  1.33
• FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems (2025)
  Val Andrei Fajardo et al.
  1.28
• MeanCache: User-Centric Semantic Caching for LLM Web Services (2024)
  Waris Gill (1) et al.
  0.50
• Ranking in Genealogy: Search Results Fusion at Ancestry (2019)
  Peng Jiang and Yingrui Yang (co-first authors) et al.
  —
• Automated Metadata Harmonization Using Entity Resolution & Contextual Embedding (2020)
  Kunal Sawarkar et al.
  —
• Question Answering Over Biological Knowledge Graph via Amazon Alexa (2022)
  Md. Rezaul Karim and Hussain Ali and Prinon Das and Mohamed Abdelwaheb and Stefan Decker
  —
• A Biomedical Knowledge Graph for Biomarker Discovery in Cancer (2023)
  Md. Rezaul Karim and Lina Molinas Comet and Oya Beyan and Dietrich Rebholz-Schuhmann and Stefan Decker
  —
• A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications (2024)
  Steph Buongiorno et al.
  —
• Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway (2024)
  Hamed Babaei Giglou et al.
  —