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cs.CL2024★ 1 cited
Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation
Sukai Huang, Trevor Cohn, Nir Lipovetzky
The capability of Large Language Models (LLMs) to plan remains a topic of debate. Some critics argue that strategies to boost LLMs' reasoning skills are ineffective in planning tas…
cs.AI2024
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
Sukai Huang, Nir Lipovetzky, Trevor Cohn
Large Language Models (LLMs) have shown promise in solving natural language-described planning tasks, but their direct use often leads to inconsistent reasoning and hallucination.…
cs.LG2024
The Dark Side of Rich Rewards: Understanding and Mitigating Noise in VLM Rewards
Sukai Huang, Shu-Wei Liu, Nir Lipovetzky +1
While Vision-Language Models (VLMs) are increasingly used to generate reward signals for training embodied agents to follow instructions, our research reveals that agents guided by…