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cs.CR2026
R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models
Ziming Zhang, Li Li, Guorui Feng +2
Large language models (LLMs) are widely deployed in multiple scenarios due to reasoning capabilities. In order to prevent the models from being misused, watermarking is generally e…
cs.LG2026
Automated Optimization Modeling via a Localizable Error-Driven Perspective
Weiting Liu, Han Wu, Yufei Kuang +4
Automated optimization modeling via Large Language Models (LLMs) has emerged as a promising approach to assist complex human decision-making. While post-training has become a pivot…