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Jing-Bang Chen

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#natural language process... Preprint Sep 2026

AdaGEPA: Adaptive Feedback Allocation for Reflective Prompt Optimization

Prompt optimization improves the performance of language-model systems on downstream tasks by refining their prompts. Classical methods evaluate prompts on task examples and use the resulting feedback to guide prompt revisions through reflection. However, when feedback selection does not account for the prompt's weakne...

Jun-Yang Chen, Ze-Cheng Wang, Jing-Bang Chen · 0 citations

Jul 2026

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation

LBR is proposed, a lightweight and model-agnostic framework for mitigating length bias in LLM-based recommendation that substantially alleviates length bias while consistently improving recommendation accuracy and fairness, with negligible additional training and inference overhead.

Hongchen Li, Bohao Wang, Jing-Bang Chen et al. · arXiv.org · 0 citations