Guangyan Li — accepted AI-conference papers

2026

Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection

Siyuan Li, Xi Lin, Guangyan Li, Zehao Liu, Aodu Wulianghai, Li Ding +2

AAAI 2026technical

The rapid advancement of large language models (LLMs) has resulted in increasingly sophisticated AI-generated content, posing significant challenges in distinguishing LLM-generated text from human-written language. Existing detection methods, primarily based on lexical heuristics or fine-tuned class

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2024

LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models

Guangyan Li, Yongqiang Tang, Wensheng Zhang

ICML 2024poster

Large language models (LLMs) show excellent performance in difficult tasks, but they often require massive memories and computational resources. How to reduce the parameter scale of LLMs has become research hotspots. In this study, we get an important observation that the multi-head self-attention (…

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