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Haoyan Chua

2 accepted papers

2025

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation

AAAI 2025technical

Large language models (LLMs) provide a promising way for accurate session-based recommendation (SBR), but they demand substantial computational time and memory. Knowledge distillation (KD)-based methods can alleviate these issues by transferring the knowledge to a small student, which trains a stude…

2025

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation

AAAI 2025technical

Emerging advancements in large language models (LLMs) show significant potential for enhancing recommendations. However, prompt-based methods often struggle to find ideal prompts without task-specific feedback, while fine-tuning-based methods are hindered by high computational demands and dependence…

Cited by 7SourcePDFScholar