Author

Fukang Wen

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#artificial intelligence Preprint Sep 2026

Do We Really Need KL Divergence for On-Policy Distillation of Large Language Models?

Since the advent of knowledge distillation, KL divergence has been the standard loss in distillation. Recently, on-policy distillation (OPD) has emerged as an efficient post-training paradigm for LLMs. As a distillation method, OPD naturally inherits KL divergence as its standard loss. However, in this work, we find th...

Wen-Ze Lin, Ji-Yuan Long, Jia-Le Zhao et al. · 0 citations

Jul 2026

OLEDLM: A Unified Language Model for OLED Molecular Design

This work proposes an inverse molecular design framework based on causal language models, and represents the first successful adaptation of LLMs specifically for the OLED domain, bridging the gap between generic molecular generation and the stringent structural requirements of optoelectronic materials.

Fu-Kang Wen, Yu-Chong Tang, Jingyuan Li et al. · arXiv.org · 0 citations