{"total":41,"rows":[{"id":"2507.13334","title":"A Survey of Context Engineering for Large Language Models","created":"2025-07-17","cited_by_count":126,"area":null},{"id":"2404.02831","title":"Empowering Biomedical Discovery with AI Agents","created":"2024-04-03","cited_by_count":118,"area":null},{"id":"2309.01157","title":"Large Language Models for Generative Recommendation: A Survey and Visionary Discussions","created":"2023-09-03","cited_by_count":73,"area":null},{"id":"2404.00579","title":"A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)","created":"2024-03-31","cited_by_count":58,"area":null},{"id":"2402.08831","title":"eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data","created":"2024-02-13","cited_by_count":46,"area":null},{"id":"2311.06318","title":"Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion","created":"2023-11-10","cited_by_count":43,"area":null},{"id":"2402.09617","title":"LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations","created":"2024-02-14","cited_by_count":24,"area":null},{"id":"2309.03613","title":"Evaluating ChatGPT as a Recommender System: A Rigorous Approach","created":"2023-09-07","cited_by_count":20,"area":null},{"id":"2601.06966","title":"RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction","created":"2026-01-11","cited_by_count":20,"area":null},{"id":"2406.03085","title":"Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation","created":"2024-06-05","cited_by_count":19,"area":null},{"id":"2312.11518","title":"User Modeling in the Era of Large Language Models: Current Research and Future Directions","created":"2023-12-11","cited_by_count":18,"area":null},{"id":"2406.01631","title":"SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems","created":"2024-06-01","cited_by_count":11,"area":null},{"id":"2410.19627","title":"Knowledge Graph Enhanced Language Agents for Recommendation","created":"2024-10-25","cited_by_count":11,"area":null},{"id":"2506.17966","title":"LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation","created":"2025-06-22","cited_by_count":11,"area":null},{"id":"2406.14275","title":"Step-Back Profiling: Distilling User History for Personalized Scientific Writing","created":"2024-06-20","cited_by_count":10,"area":null},{"id":"2410.16458","title":"STAR: A Simple Training-free Approach for Recommendations using Large Language Models","created":"2024-10-21","cited_by_count":8,"area":null},{"id":"2410.22809","title":"Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation","created":"2024-10-30","cited_by_count":8,"area":null},{"id":"2402.19366","title":"Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency","created":"2024-02-29","cited_by_count":7,"area":null},{"id":"2412.01837","title":"Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph","created":"2024-11-17","cited_by_count":5,"area":null},{"id":"2509.09689","title":"Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors","created":"2025-08-18","cited_by_count":4,"area":null},{"id":"2406.06475","title":"Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives","created":"2024-06-10","cited_by_count":3,"area":null},{"id":"2505.13528","title":"LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems","created":"2025-05-18","cited_by_count":3,"area":null},{"id":"2406.12243","title":"CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2410.19855","title":"Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems","created":"2024-10-22","cited_by_count":2,"area":null},{"id":"2411.00556","title":"LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering","created":"2024-11-01","cited_by_count":2,"area":null},{"id":"2509.09690","title":"Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2608.04625","title":"A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing","created":"2026-08-05","cited_by_count":2,"area":null},{"id":"2609.02730","title":"CORAL: An LLM-Native Harness for Production Recommender Systems","created":"2026-09-02","cited_by_count":2,"area":null},{"id":"2402.14301","title":"GenSERP: Large Language Models for Whole Page Presentation","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2409.01605","title":"Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information","created":"2024-09-03","cited_by_count":1,"area":null},{"id":"2510.15647","title":"Enhance Large Language Models as Recommendation Systems with Collaborative Filtering","created":"2025-10-17","cited_by_count":1,"area":null},{"id":"2510.20641","title":"Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2407.20856","title":"Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations","created":"2024-07-30","cited_by_count":0,"area":null},{"id":"2501.13344","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","created":"2025-01-23","cited_by_count":0,"area":null},{"id":"2506.14231","title":"ImpReSS: Implicit Recommender System for Support Conversations","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2603.10148","title":"Social Knowledge for Cross-Domain User Preference Modeling","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2605.11807","title":"Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.07454","title":"PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2607.00010","title":"Prompt Optimization for User Simulation in Conversational Recommender Systems: A Multi-Objective Framework","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2607.02881","title":"PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2608.03403","title":"Towards Robust Tool Use in Agents via Experience-Driven Adaptive Guidance","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}