HINT-SD improves long-horizon LLM agent training by using hindsight to target self-distillation on failure-relevant action spans, delivering up to 18.8% higher performance and 2.26x lower time per step than dense per-turn feedback.
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HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents
HINT-SD improves long-horizon LLM agent training by using hindsight to target self-distillation on failure-relevant action spans, delivering up to 18.8% higher performance and 2.26x lower time per step than dense per-turn feedback.