Author

Feiran Huang

2 papers indexed here

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Sep 2026

Turning Cold Entities Warm: LLM-Based User and Item Interaction Simulation for Recommendations

Recommendation throughout the cold-start period remains a challenge in recommender systems. Strictly cold entities (users/items) have no interactions, while warm-up entities only have a few unreliable interactions. Strict cold-start methods typically overlook warm-up entities, while warm-up methods are generally not de...

Hao Chen, Li-Jia Chen, Huan Gong et al. · ACM Transactions on Informat... · 0 citations

#artificial intelligence Preprint Aug 2026

Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift

TIDE-Bench is introduced, a benchmark for conversational text-to-SQL under chain ambiguity and intent drift evaluation, targeting two recurring patterns: chain ambiguity, where an underspecified question triggers layered clarification with conditional dependencies, and intent drift, where the user retracts and replaces...

Yu-Jia Liu, Jia-Yan Lin, Zi-Jin Hong et al. · 0 citations