Papers by Weihao Lin

2 papers
DUET: Joint Exploration of User–Item Profiles in Recommendation System (2026.findings-acl)

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Challenge: Existing LLMs are opaque and difficult to interpret, resulting in limited interpretability.
Approach: They propose an interaction-aware profile generator that jointly produces user and item profiles conditioned on both user history and item evidence.
Outcome: The proposed model outperforms baselines on three real-world datasets.
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement (2026.acl-long)

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Challenge: Existing multi-LLM collaboration systems often encounter scalability challenges when integrating new LLMs and tasks.
Approach: They propose a Scalable Multi-LLM Collaboration System to coordinate multiple open-source LLMs.
Outcome: The proposed system outperforms prevailing closed-source LLMs on eight mainstream benchmarks on multiple tasks.

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