LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
Paper • 2408.08208 • Published
Changwang ZHANG
mLeoKing
·
AI & ML interests
AI Information Retrieval (Retrieval Augmented Generation, Multimodal Retrieval, Search-Recommendation-Advertising) | AI agents (intention recognition, agent framework) | Large AI models (large reasoning models R1/O1)
Recent Activity
authored a paper 1 day ago
LLM4DSR: Leveraging Large Language Model for Denoising Sequential
Recommendation authored a paper 1 day ago
DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories authored a paper 1 day ago
PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo RetrievalOrganizations
authored 4
papers 1 day ago
DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
Paper • 2602.10809 • Published • 59
PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo Retrieval
Paper • 2603.01493 • Published • 20
Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
Paper • 2604.08224 • Published • 46
authored 7
papers 7 months ago
MASTER: A Multi-Agent System with LLM Specialized MCTS
Paper • 2501.14304 • Published
OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning
Paper • 2503.16081 • Published • 28
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation
Paper • 2506.02397 • Published • 36
TaskCraft: Automated Generation of Agentic Tasks
Paper • 2506.10055 • Published • 32
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 63
OAgents: An Empirical Study of Building Effective Agents
Paper • 2506.15741 • Published • 35
Efficient Agents: Building Effective Agents While Reducing Cost
Paper • 2508.02694 • Published • 86