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Reducing Credit Assignment Variance via Counterfactual Reasoning Paths

Counterfactual reasoning paths convert sparse terminal rewards into step-sensitive signals, reducing gradient variance and improving LLM reasoning via IBPO.

fei ding, Yongkang Zhang, youwei wang, Zijian Zeng

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5