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Clayton Washington

2 accepted papers

2023

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

ICCV 2023poster

This study focuses on using large language models (LLMs) as a planner for embodied agents that can follow natural language instructions to complete complex tasks in a visually-perceived environment. The high data cost and poor sample efficiency of existing methods hinders the development of versatil…

Cited by 577PDFScholar
2022

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again

EMNLP 2022finding

Large pre-trained language models (PLMs) such as GPT-3 have shown strong in-context learning capabilities, which are highly appealing for domains such as biomedicine that feature high and diverse demands of language technologies but also high data annotation costs. In this paper, we present the firs…