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cs.CL2025
Effectiveness of Chain-of-Thought in Distilling Reasoning Capability from Large Language Models
Cong-Thanh Do, Rama Doddipatla, Kate Knill
Chain-of-Thought (CoT) prompting is a widely used method to improve the reasoning capability of Large Language Models (LLMs). More recently, CoT has been leveraged in Knowledge Dis…
cs.CL2025
Conditional Multi-Stage Failure Recovery for Embodied Agents
Youmna Farag, Svetlana Stoyanchev, Mohan Li +2
Embodied agents performing complex tasks are susceptible to execution failures, motivating the need for effective failure recovery mechanisms. In this work, we introduce a conditio…