Key papers

• Bumblebee: Interleaved Mixed-Layer Building Blocks for Large-Scale Recommendation Systems (2026)
  David Bauer et al.
  4.95
• Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems (2026)
  Baolei Li et al.
  4.95
• Memory Layer: Train the In-Model Cache for Recommendation Models (2026)
  Liangyuan Na et al.
  4.95
• TopoGR: Revealing and Preserving Latent Structure of Semantic ID in Generative Recommendation (2026)
  Ziyu Zheng et al.
  4.95
• Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing (2026)
  Huanjie Wang et al.
  4.95
• The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers (2026)
  Zhe Xu et al.
  4.95
• Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models (2026)
  Julian Killingback et al.
  4.94
• Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation (2025)
  Jiang Zhang et al.
  4.93
• Curated retrieval versus open web search in public AI information services: a coverage-trust trade-off (2026)
  Hafsteinn Einarsson et al.
  4.33
• Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fiction (2026)
  Mohammad Saifullah et al.
  4.33
• Multilingual Semantic Retrieval for Apple Music Search (2026)
  Vishalaksh Aggarwal et al.
  4.33
• What Would You Click? Personalized Video Thumbnail Generation with Preference-aware Highlight Retrieval (2026)
  Zhiyu He et al.
  4.33
• NEXT: Reasoning-Driven Video Recommendation via a Vision-Language Model (2026)
  Yuming Liu et al.
  4.33
• REPREC: Representation Driven Parameter-Efficient Recommendation System (2026)
  Harshini Kavuru et al.
  4.33
• Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders (2026)
  Yuichi Tateno
  4.33
• FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery (2026)
  Reihaneh Rostami (RAIC Labs) et al.
  4.33
• RecoReward: Recommender-Guided Multimodal Description Generation for Recommendation (2026)
  Guohong Mu et al.
  4.33
• Automating Information Extraction and Retrieval for Industrial Spare Parts Pooling (2026)
  Dyuman Bulloni et al.
  4.27
• Diagnosing Knowledge Gaps in LLM Tool Use: An Agentic Benchmark for Novel API Acquisition (2026)
  Jinnuo Liu et al.
  4.27
• DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction (2026)
  Reazul Hasan Russel et al.
  4.27
• RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender (2026)
  Francesco Granata et al.
  4.22
• SIDE: Semantic ID Embedding for effective learning from sequences (2025)
  Dinesh Ramasamy et al.
  3.75
• Modality Relevance is not Modality Utility: Post-hoc Selective Modality Escalation for Cost-Aware Multimodal RAG (2026)
  Xue Li et al.
  3.45
• PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models (2026)
  Lorenzo Molfetta et al.
  3.45
• Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark (2026)
  Nishan Pantha et al.
  3.45
• Retrieving a Set, Not Independent Passages: Set-Level Compatibility Learning for Efficient Set Exploration (2026)
  Mooho Song et al.
  3.45
• Inject or Navigate? Token-Efficient Retrieval for LLM Analysis of Transactional Legal Documents (2026)
  Mahmoud Hany et al.
  3.45
• CMDR: Contextual Multimodal Document Retrieval (2026)
  Ryota Tanaka et al.
  3.45
• InfluMatch: Frontier-Quality KOL Search at 4B-Model Cost (2026)
  Krittanon Kaewtawee et al.
  3.45
• Uncertainty-Aware Cross-Modal Remote Sensing Image-Text Retrieval via Evidential Learning (2026)
  Zhuoyue Wang et al.
  3.45
• Learn to Pool: Lightweight Fine-Tuning for Flexible Multi-Vector Compression (2026)
  Stefan Josef
  3.45
• DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation (2026)
  Yaqi Wu et al.
  3.45
• Transforming LLMs into Efficient Cross-Encoders via Knowledge Distillation for RAG Reranking (2026)
  Shreeya Dasa Lakshminath et al.
  3.45
• SlimPer: Make Personalization Model Slim and Smart (2026)
  Siqi Wang et al.
  3.45
• MESH: Scaling Up Retrieval with Heterogeneous Content Unification (2026)
  Jiaxing Qu et al.
  3.45
• Cheaper is Better: A Discount-Aware Network for Conversion Rate Prediction in E-commerce Recommendation System (2026)
  Ruocong Tang et al.
  3.45
• Towards Vision-Free CIR: Attribute-Augmented Scoring and LLM-Based Reranking for Zero-Shot Composed Image Retrieval (2026)
  Ryotaro Shimada et al.
  3.45
• SPARC: Sequence-aware Progressive Attribute Routing and Compression Framework for Generative Recommendation (2026)
  Chang Liu et al.
  3.45
• 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.
  3.39
• Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs (2026)
  Tianyu Ding et al.
  3.39
• PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation (2026)
  Kirill Dubovikov (Mohamed bin Zayed University of Artificial Intelligence) et al.
  3.39
• Intention Knowledge Graph Construction for User Intention Relation Modeling (2024)
  Jiaxin Bai et al.
  3.26
• A Metric for MLLM Alignment in Large-scale Recommendation (2025)
  Yubin Zhang et al.
  2.93
• Orthogonal Low Rank Embedding Stabilization (2025)
  Kevin Zielnicki and Ko-Jen Hsiao
  2.93
• Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation (2025)
  Seongeun Ryu et al.
  2.93
• Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System (2025)
  Chao Wang et al.
  2.82
• From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems (2024)
  Brian Hsu et al.
  2.60
• Cost-Governed RAG: Unified Per-Tenant Cost Attribution Across Retrieval and Generation in Multi-Tenant LLM Systems (2026)
  Navnit Shukla
  1.94
• On-Device Deep Research at 4B: Exposure Bounds Faithfulness, Retrieval Bounds Coverage (2026)
  Vinay Kumar Chaganti
  1.94
• Bridging Short Videos and Live Streams: Reasoning-Guided Multimodal LLMs for Cross-Domain Representation Learning (2026)
  Le Zhang et al.
  1.89
• Distributional Approximate Nearest Neighbour Search for Uncertainty-Aware Retrieval (2026)
  Olivier Jeunen
  1.89
• DREAM: Dynamic Refinement of Early Assignment Mappings (2026)
  Liwei Guan et al.
  1.89
• Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models (2026)
  Xilun Chen et al.
  1.89
• Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model (2026)
  Sergey Kurilenko
  1.89
• Adaptive E-Learning Path Recommendation System Using Probabilistic Reinforcement Learning and Generative AI Explanations (2026)
  Alekhya Duggirala et al.
  1.89
• Bat: Efficient Generative Recommender Serving with Bipartite Attention (2026)
  Jie Sun et al.
  1.89
• Explainable Reciprocal Recommender System for Affiliate–Seller Matching: A Two-Stage Deep Learning Approach (2026)
  Hanadi Almutairi et al.
  1.89
• Multi-level cross-view contrastive learning for enhanced item intention-aware recommender system (2026)
  Shuqin Zhang et al.
  1.89
• LLM Retrieval for Stable and Predictable Ad Recommendations (2026)
  Vinodh Kumar Sunkara et al.
  1.83
• MMP-Refer: Multimodal Path Retrieval-augmented LLMs For Explainable Recommendation (2026)
  Xiangchen Pan et al.
  1.78