Research

Can LLMs Learn to Reason Robustly under Noisy Supervision?

Research examines whether LLMs can achieve robust reasoning despite noisy training supervision, addressing a fundamental challenge in scaling model training.

Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline

Research paper investigating whether large language models can learn robust reasoning when trained on imperfect or noisy supervision. Addresses a practical training challenge in LLM development.

Read original at arXiv CS.LG (Machine Learning)

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