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cs.AI2025
Reflective Confidence: Correcting Reasoning Flaws via Online Self-Correction
Qinglin Zeng, Jing Yang, Keze Wang
Large language models (LLMs) have achieved strong performance on complex reasoning tasks using techniques such as chain-of-thought and self-consistency. However, ensemble-based app…
cs.AI2025
Failure-Driven Workflow Refinement
Jusheng Zhang, Kaitong Cai, Qinglin Zeng +4
Optimizing LLM-based workflows is typically formulated as a global search, where candidate workflows are evaluated based on a scalar metric. This paradigm, however, suffers from a…