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Duan Bingchen

2 accepted papers

2026

Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models

ICLR 2026poster

Reasoning Large Language Models (RLLMs) excelling in complex tasks present unique challenges for digital watermarking, as existing methods often disrupt logical coherence or incur high computational costs. Token-based watermarking techniques can corrupt the reasoning flow by applying pseudo-random…

Cited by 0SourceScholar
2025

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models

ACL 2025finding

The widespread deployment of large language models (LLMs) across critical domains has amplified the societal risks posed by algorithmically generated misinformation. Unlike traditional false content, LLM-generated misinformation can be self-reinforcing, highly plausible, and capable of rapid propaga…

Cited by 0SourcePDFScholar