Artificial Intelligence #llm#reasoning
New Hindsight Self-Distillation Method Improves LLM Reasoning by Localizing Credit at Divergence Points
A new method called Hindsight Self-Distillation (HSD) improves large language model reasoning by conditioning the teacher on a successful peer rollout. This localizes the credit signal at the divergence point between failed and successful rollouts, leading to state-of-the-art results on math and code benchmarks with Qwen3-8B and Qwen3-32B models.
Jun 16, 2026 1 source