Haoliang Li

2 papers indexed

arxivcs.CV2026-07-09

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression

Chris Xing Tian, Chengkai Wu, Ziyu Wang, Rongqun Lin, Kecheng Chen, Xiandong Meng, et al.

Large language model (LLM)-based lossless image compression methods typically represent pixel data through the native text interface of a pretrained model, converting pixel values into token sequences that the LLM processes through its vocabulary head. This design shows that pret…

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arxivcs.LGcs.AI2026-07-03

Unbiased Alignment for Large Language Models with Noisy Preferences

Jialiang Wang, Xianming Liu, Xiong Zhou, Hui Liu, Haoliang Li

The alignment of large language models with human preferences is commonly achieved through Reinforcement Learning from Human Feedback or Direct Preference Optimization. However, these methods are vulnerable to the significant noise prevalent in real-world preference datasets. To…

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