Shi Wang

The rapid advancement of large language models has increasingly blurred the boundary between human-written and AI-generated text, raising societal risks such as misinformation dissemination, authorship ambiguity, and threats to intellectual property rights. These concerns highlight the urgent nee...

With the rapid development of cloud-based services, large language models have become increasingly accessible through various web platforms. However, this accessibility has also led to growing risks of model abuse. LLM watermarking has emerged as an effective approach to mitigate such misuse and...

Large language models have shown strong generative and reasoning capabilities, yet they still struggle with natural language to first order logic (NL2FOL) translation due to logical hallucination. We propose LSEG (Logic Structure and Entropy Guided), a fine-tuning free framework designed to impro...