ArXiv TLDR

Dongsheng Li

3 papers · Latest:

Information Retrieval

From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents

This paper argues LLM agents enable a shift to governable personalization, making user data inspectable and portable across services.

2604.20065
Information Retrieval

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration

This paper introduces a multimodal multi-agent framework for transparent and controllable recommendation filtering, reducing false positives and improving user agency.

2604.17459
Machine Learning

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency

KoPE integrates neuro-inspired oscillatory phase encoding into Vision Transformers, boosting learning efficiency via synchronization-enhanced structure learning.

2604.07904

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