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Wensheng Lu

2 accepted papers

2024

Aligning Large Language Models for Controllable Recommendations

ACL 2024long

Inspired by the exceptional general intelligence of Large Language Models (LLMs), researchers have begun to explore their application in pioneering the next generation of recommender systems — systems that are conversational, explainable, and controllable. However, existing literature primarily conc…

2023

Explainable Recommendation with Personalized Review Retrieval and Aspect Learning

ACL 2023long

Explainable recommendation is a technique that combines prediction and generation tasks to produce more persuasive results. Among these tasks, textual generation demands large amounts of data to achieve satisfactory accuracy. However, historical user reviews of items are often insufficient, making i…