Reasoning Traces: Training LLMs on GPT-OSS and DeepSeek R1

This ArXiv article likely investigates the effectiveness of using reasoning traces generated by models like GPT-OSS and DeepSeek R1 to improve the reasoning capabilities of other LLMs. The research could contribute to advancements in LLM performance and provide insights into effective training methodologies for complex reasoning tasks.

• •The research explores using reasoning traces to improve LLM capabilities.
• •It likely compares different models (GPT-OSS, DeepSeek R1) for trace generation.
• •The findings could inform better LLM training strategies for reasoning.