Language Models are Few-Shot Butlers

16 April 2021

Papers citing "Language Models are Few-Shot Butlers"

7 / 7 papers shown

Title
Policy Improvement using Language Feedback Models Victor Zhong Dipendra Kumar Misra Xingdi Yuan Marc-Alexandre Côté 16 9 0 12 Feb 2024
LLM Guided Inductive Inference for Solving Compositional Problems Abhigya Sodani Lauren Moos Matthew Mirman LRM 44 1 0 20 Sep 2023
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models Chan Hee Song Jiaman Wu Clay Washington Brian M Sadler Wei-Lun Chao Yu-Chuan Su LLMAG LM&Ro 45 383 0 08 Dec 2022
A Systematic Survey of Text Worlds as Embodied Natural Language Environments Peter Alexander Jansen LM&Ro 23 21 0 08 Jul 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,919 0 31 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018