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Large Language Models (LLMs) exhibit substantial promise in enhancing task-planning capabilities within embodied agents due to their advanced reasoning and comprehension.
Rank analysis of incomplete block designs: I. the method of paired comparisons
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Direct preference optimization: Your language model is secretly a reward model
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Robots that ask for help: Uncertainty alignment for large language model planners
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Progprompt: Generating situated robot task plans using large language models
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Llm-planner: Few-shot grounded planning for embodied agents with large language models
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The vulnerability of language model benchmarks: Do they accurately reflect true llm performance?
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Humans or llms as the judge? a study on judgement biases
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