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Zhe Tang

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#natural language process... Preprint Oct 2026

Breaking the Tie: A Cluster-Aware Routing Framework for Large Language Models

With the rapid development of artificial intelligence, the emergence of various Large Language Models (LLMs) has created a rich model ecosystem. However, this also brings a key challenge: how to select the optimal model for a specific user query. LLM routing addresses this need by dynamically assigning queries to the m...

Yao Lu, Zhai-Yuan Ji, Ya-Xin Gao et al. · 0 citations
Jul 2026

Self-Boosting Vision-Language Models with Noisy Student On-Policy Self-Distillation

This work proposes NOPD (Noisy Student On-Policy Self-Distillation), a simple yet effective self-distillation approach that improves VLMs without any external models or ground-truth answers, and demonstrates that NOPD is a general approach to enhance VLMs, achieving improvements across three models on 12 benchmarks.

Shuai Wang, Daoan Zhang, Zhe Tang et al. · 0 citations

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