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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

AdaGEPA is proposed, an adaptive feedback-allocation method that uses the prompt's performance and task structure to select examples for the next prompt revision, and highlights the potential of adaptive feedback allocation to improve both the effectiveness and rollout-budget efficiency of reflective prompt optimizatio...

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