An analysis of AI reasoning traces, how they are hidden, and the role of system prompts in reasoning effort.
A security paper reveals how encrypted reasoning traces from proprietary LLM APIs can be replayed and jailbroken to recover hidden chain-of-thought, now fixed.
An overview of inference-time scaling methods for improving LLM reasoning, categorizing techniques and highlighting recent research.
An overview of inference-time scaling methods for improving LLM reasoning, categorizing techniques like chain-of-thought and self-consistency.
Explores how increasing 'thinking time' and Chain-of-Thought reasoning improves AI model performance, drawing parallels to human psychology.
Explains core prompting fundamentals for effective LLM use, including mental models, role assignment, and practical workflow with examples.
