Key papers

• Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories (2026)
  Ali Behrouz et al.
  8.34
• Language Model Personalization via Reward Factorization (2025)
  Idan Shenfeld et al.
  8.17
• RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders (2025)
  Zhongheng Yang et al.
  7.99
• RecoWorld: Building Simulated Environments for Agentic Recommender Systems (2025)
  Fei Liu et al.
  6.45
• Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions (2026)
  Rahul A. Burange et al.
  6.40
• CARTS: Collaborative Agents for Recommendation Textual Summarization (2025)
  Jiao Chen et al.
  5.70
• Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective (2025)
  Yubo Wang and Min Tang and Nuo Shen and Shujie Cui and Weiqing Wang
  5.46
• KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models (2025)
  Fnu Mohbat et al.
  5.29
• STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning (2025)
  Chenghao Wu et al.
  5.04
• From Blueprint to Reality: Modeling and Applying Putnam's Social Capital Theory with LLM-based Multi-agent Simulations (2026)
  Shiyi Ling et al.
  4.95
• CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation Platform (2026)
  Gustavo H. Santos et al.
  4.95
• Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools (2026)
  Kirk Roberts 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
• VaLiDRec: Variable-Length LLM-Aligned Semantic IDs for Generative Recommendation (2026)
  Shutong Qiao et al.
  4.95
• Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO (2026)
  Arash Ahmadi et al.
  4.90
• Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems (2025)
  Song Jin et al.
  4.87
• Multimodal Fusion And Sparse Attention-based Alignment Model for Long Sequential Recommendation (2025)
  Yongrui Fu et al.
  4.53
• Emergence of Preferential Attachment and Glass-Ceiling Effects in Autonomous Networks of LLMs (2026)
  Yiming Zhang et al.
  4.33
• Curated retrieval versus open web search in public AI information services: a coverage-trust trade-off (2026)
  Hafsteinn Einarsson et al.
  4.33
• CSTutorBench: Benchmarking Small Language Models as Tutors for Block-Based Programming (2026)
  H. Chad Lane et al.
  4.33
• Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fiction (2026)
  Mohammad Saifullah et al.
  4.33
• From Conversation to Contribution: Characterizing Coding Agent in Open-Source Software (2026)
  Zihan Fang et al.
  4.33
• Beyond Accuracy: How Humans Evaluate Legally Correct but Socially Controversial Legal Advice from Machines (2026)
  Benjamin Minhao Chen et al.
  4.33
• Depression Symptoms and Relational Patterns in 187k ChatGPT Histories (2026)
  Neil K. R. Sehgal et al.
  4.33
• PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data (2026)
  Zeyu He et al.
  4.33
• Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development (2026)
  Rohit Mehra et al.
  4.33
• BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments (2026)
  Bingjia Huang
  4.33
• The Impact of Security and Privacy Controls on Users' Emotional Engagement with Generative AI Chatbots (2026)
  Jabari Kwesi et al.
  4.33
• Trust-Aware Citation Cartel Ranking in Scholarly Knowledge Graphs (2026)
  Pratyush Gupta et al.
  4.33
• Faster AI, Uneven Frontier: Rapid Crossings, a Jagged Frontier, and the Repositioning of Human Judgment (2026)
  Ancuta Margondai et al.
  4.33
• Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture (2026)
  Anand Gupta et al.
  4.33
• Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support (2026)
  Seshu Kumar Damarla et al.
  4.33
• Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models (2026)
  Shinhwan Kang et al.
  4.33
• REPREC: Representation Driven Parameter-Efficient Recommendation System (2026)
  Harshini Kavuru et al.
  4.33
• Ranked by Position: Order Sensitivity as an Exploitable Attack Surface in LLM Listwise Recommenders (2026)
  Ge Zhang et al.
  4.33
• UrbanTrace: LLM-Assisted Discovery and Semantics-Aware Integration of Spatial Data (2026)
  Sonia Castelo et al.
  4.33
• TabRank: Chain-of-Thought Distillation for Table Re-Rankers (2026)
  Adarsh Singh et al.
  4.33
• Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation (2026)
  Huwei Ji et al.
  4.33
• A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries (2026)
  Kyuri Im et al.
  4.33
• LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation (2026)
  Seungheon Doh et al.
  4.33
• Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction (2026)
  Xinyi Hong et al.
  4.33
• RecoReward: Recommender-Guided Multimodal Description Generation for Recommendation (2026)
  Guohong Mu et al.
  4.33
• CL-DMDF:Dynamic Multimodal Data Fusion Model Based on Contrastive Learning (2026)
  Dong Li et al.
  4.27
• Automating Information Extraction and Retrieval for Industrial Spare Parts Pooling (2026)
  Dyuman Bulloni et al.
  4.27
• DMF: A Deterministic Memory Framework for Conversational AI Agents (2026)
  Matteo Stabile et al.
  4.27
• Post-Hoc Robustness for Model-Based Reinforcement Learning (2026)
  Siemen Herremans et al.
  4.27
• \textsc{CR-Seg}: Attention-Guided and CoT-Enhanced Coarse-to-Refined Reasoning Segmentation (2026)
  Yifan Cao 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
• Code-on-Graph: Iterative Programmatic Reasoning via Large Language Models on Knowledge Graphs (2026)
  Weiwei Ding et al.
  4.27
• E2LLM: Towards Efficient LLM Serving in Heterogeneous Edge/Fog Environments (2026)
  Truong-Thanh Le et al.
  4.27
• Expert-Aware Causal Tracing of Factual Recall in Sparse MoE Language Models (2026)
  Yuetian Lu et al.
  4.27
• Trading Human Curation for Synthetic Augmentation in RLVR (2026)
  Akshansh <last> et al.
  4.27
• Agent libOS: A Library-OS-Inspired Runtime for Long-Running, Capability-Controlled LLM Agents (2026)
  Yingqi Zhang
  4.27
• Quantifying Faithful Confidence Expression in Large Reasoning Models (2026)
  Areeb Gani et al.
  4.27
• AdaPT: Adaptive Lesson Plan Transformer for Cross-Regional and Differentiated Instruction (2026)
  Yanjie Zhang et al.
  4.27
• Towards Understanding and Measuring COGNITIVE ATROPHY in LLM Behaviour (2026)
  Abeer Badawi et al.
  4.27
• Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems (2026)
  Yuanzi Li et al.
  4.27
• RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender (2026)
  Francesco Granata et al.
  4.22
• A BERT Based Hybrid Recommendation System For Academic Collaboration (2025)
  Sangeetha N et al.
  4.19
• Graph Contrastive Learning With Diffusion-Based Transfer for Cross-Domain Recommender System (2026)
  Pham Minh Thu Do et al.
  4.15