Key papers

• TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation (2025)
  Jiaqing Zhang et al.
  7.71
• Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems (2024)
  Pan Li et al.
  7.50
• LightGNN: Simple Graph Neural Network for Recommendation (2025)
  Guoxuan Chen et al.
  7.08
• De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems (2025)
  Robin Burke et al.
  6.30
• Personalize Your LLM: Fake it then Align it (2025)
  Yijing Zhang et al.
  6.17
• RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs (2025)
  Zhongtian Sun et al.
  5.52
• Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network (2026)
  Antonin Chodron de Courcel
  5.44
• Office Comprehension Benchmark (2026)
  Firoz Shaik et al.
  5.01
• Embedding Inference Attack (2026)
  Cedric Fitiavana Raelijohn et al.
  5.01
• Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search (2026)
  Longfeng Wu et al.
  5.01
• Bringing Agentic Search to Earth Observation Data Discovery (2026)
  Minghan Yu et al.
  5.01
• Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering (2026)
  Xianliang Li et al.
  4.95
• Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification (2026)
  Thanh Luong Tuan et al.
  4.95
• When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories (2026)
  Avinash Baidya et al.
  4.95
• Executable Schema Contracts: From Automatic Ingestion to Multi-Source Retrieval (2026)
  Padmaja Jonnalagedda et al.
  4.95
• Multilingual Coreference Resolution via Cycle-Consistent Machine Translation (2026)
  Adriana-Valentina Costache et al.
  4.95
• Measuring the sensitivity of LLM-based structured extraction to prompt, model, and schema choices in clinical discharge summaries (2026)
  Martin Murin
  4.95
• HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report (2026)
  Minghao Li et al.
  4.39
• Exposure-Based Reinforcement Learning to Rank (2026)
  Harrie Oosterhuis et al.
  4.39
• Biological Amnesia in ICU Time-Series Prediction: A Drift-Adaptive Two-Stream Architecture with Temporal Retrieval (2026)
  Fatema Ferdous Tamanna et al.
  4.39
• Exploiting Verification-Generation Gap: Test-Time Reinforcement Learning with Confidence-Conditioned Verification (2026)
  Jiahui Li et al.
  4.33
• A 3D Isovist World Model -- Revealing a City's Unseen Geometry and Its Emergent Cross-City Signature (2026)
  Xuhui Lin et al.
  4.33
• Limit Analysis of Graph Neural Networks with Wireless Conflict Graphs (2026)
  Romina Garcia Camargo et al.
  4.33
• Easy-to-Use Shielding for Reinforcement Learning (2026)
  Stefan Pranger et al.
  4.33
• Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models (2026)
  Qi Cao et al.
  4.33
• FFR: Forward-Forward Learning for Regression (2026)
  Xinyang Liu et al.
  4.33
• Formalizing the Binding Problem (2026)
  Lianghuan Huang et al.
  4.33
• Rollout-Level Advantage-Prioritized Experience Replay for GRPO (2026)
  Gyeongtae Yoo et al.
  4.33
• Harnessing Generalist Agents for Contextualized Time Series (2026)
  Zihao Li et al.
  4.33
• Consensus Clustering of Free-Viewing Gaze Data: New Insights into Human-Information Interaction (2026)
  Beryl Gnanaraj et al.
  4.33
• Using AI Agents to Automate Black-Box Audits of Personalization Algorithms at Scale (2026)
  Alessandro Morosini et al.
  4.33
• From Idea to Prototype in an Afternoon: Scaffolded, AI-Assisted Rapid VA Prototyping (2026)
  Gennady Andrienko et al.
  4.33
• A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization (2026)
  Tangtang Wang et al.
  3.92
• Pre-training for Recommendation Unlearning (2025)
  Guoxuan Chen et al.
  3.75
• Sign in the Air to Unlock: An Interface for authentication in Virtual and Augmented Reality Powered by Point-Voxel Cross-Attention Network (2026)
  Neda Abdolrahimi et al.
  3.51
• Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory (2026)
  Oliver Zahn et al.
  3.51
• Solipsistic Superintelligence is Unlikely to be Cooperative (2026)
  Rakshit S Trivedi et al.
  3.45
• Neuron Populations Exhibit Divergent Selectivity with Scale (2026)
  Amil Dravid et al.
  3.45
• Orthogonal Low Rank Embedding Stabilization (2025)
  Kevin Zielnicki and Ko-Jen Hsiao
  2.99
• Deep-learning Causal Retrieval Optimization for Efficient e-commerce Distribution in Pinterest (2026)
  Junpeng Hou et al.
  2.00
• Robustness and Regularization in Hierarchical Re-Basin (2026)
  Benedikt Franke et al.
  1.94
• Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance (2026)
  Zhuo Li et al.
  1.94
• Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway (2026)
  Hee-Sung Kim et al.
  1.94
• A Federated Recommendation System Framework Based on Variational Autoencoder With Mixture of Experts (2026)
  Yunpeng Xiao et al.
  1.94
• Temporal Recommendation Based on Adaptive Deep Matrix Factorization (2026)
  Yali Feng et al.
  1.94
• Federated Context-Aware Personalized Recommendation (2026)
  Zhihao Wang et al.
  1.94
• CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation (2026)
  Qian Zhang et al.
  1.83
• Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations (2026)
  Fernando Spadea and Oshani Seneviratne
  1.78
• Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify (2026)
  Edoardo D'Amico et al.
  1.78
• Uncertainty-aware Generative Recommendation (2026)
  Chenxiao Fan et al.
  1.72
• Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels (2026)
  Keerthi Gopalakrishnan et al.
  1.72
• MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling (2025)
  Bin Wu et al.
  1.61
• Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation (2025)
  Fuyuan Lyu et al.
  1.61
• Efficient Personalization of Generative Models via Optimal Experimental Design (2025)
  Guy Schacht et al.
  1.61
• MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems (2025)
  Wan Jiang et al.
  1.61
• Solving cold start in news recommendations: a RippleNet-based system for large scale media outlet (2025)
  Karol Radziszewski et al.
  1.56
• LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling (2025)
  Yunjiang Jiang et al.
  1.50
• Algorithm Adaptation Bias in Recommendation System Online Experiments (2025)
  Chen Zheng et al.
  1.44
• T-POP: Test-Time Personalization with Online Preference Feedback (2025)
  Zikun Qu et al.
  1.44
• Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation (2025)
  Leyao Wang et al.
  1.39