Showing 1–17 of 17 results
/ Date/ Name
Dec 18, 2020Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree SearchMay 13, 2021MapGo: Model-Assisted Policy Optimization for Goal-Oriented TasksJun 7, 2023Set-to-Sequence Ranking-based Concept-aware Learning Path RecommendationJul 1, 2025MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language ModelsJun 6, 2025Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive SurveyJan 20, 2022Goal-Conditioned Reinforcement Learning: Problems and SolutionsAug 15, 2024AIE: Auction Information Enhanced Framework for CTR Prediction in Online AdvertisingJan 27, 2022Generative Adversarial Exploration for Reinforcement LearningApr 28, 2024Retrieval-Oriented Knowledge for Click-Through Rate PredictionMay 20, 2024FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the PastMay 21, 2025InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented GenerationAug 11, 2024Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative DecodingDec 18, 2022Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across AgentsSep 5, 2023Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario RecommendationFeb 19, 2025LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language ModelsDec 24, 2024An Automatic Graph Construction Framework based on Large Language Models for RecommendationApr 20, 2026Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations