CORE-BREW: LLR-Based Soft Decoding for Robust Multi-Bit LLM Watermarking
CORE-BREW introduces a robust method for watermarking Large Language Models by embedding signals into output logits during inference. It uses Logarithmic Likelihood Ratios (LLRs) to enable soft decision decoding, which improves security against adversarial attacks while maintaining high semantic quality.