3 papers
cs.CL2026
Beyond Representational Similarity: Source-Conditioned Description-Length Gain for Generative Plagiarism Detection and Candidate Source Reranking
Peijia Guo, Wenxuan Xie, ZiGuang Li +1
Large language models (LLMs) pose challenges to academic integrity and peer review. Yet generative plagiarism detection remains an underexplored and largely unresolved challenge. P…
cs.IT2025
Lossless data compression by large models
Ziguang Li, Chao Huang, Xuliang Wang +7
Modern data compression methods are slowly reaching their limits after 80 years of research, millions of papers, and wide range of applications. Yet, the extravagant 6G communicati…
cs.AI2024
Ranking LLMs by compression
Peijia Guo, Ziguang Li, Haibo Hu +3
We conceptualize the process of understanding as information compression, and propose a method for ranking large language models (LLMs) based on lossless data compression. We demon…