most citedChain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

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cs.CL2025★ 1 cited

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Jaechul Roh, Varun Gandhi, Shivani Anilkumar +1

Large Language Models (LLMs) have achieved remarkable success in tasks requiring complex reasoning, such as code generation, mathematical problem solving, and algorithmic synthesis…

cs.CL2025

R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model

Ali Naseh, Harsh Chaudhari, Jaechul Roh +3

DeepSeek recently released R1, a high-performing large language model (LLM) optimized for reasoning tasks. Despite its efficient training pipeline, R1 achieves competitive performa…