Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering

29 August 2023

Papers citing "Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering"

6 / 6 papers shown

Title
Large Language Models Meet NLP: A Survey Libo Qin Qiguang Chen Xiachong Feng Yang Wu Yongheng Zhang Hai-Tao Zheng Min Li Wanxiang Che Philip S. Yu ALM LM&MA ELM LRM 54 49 0 21 May 2024
Socially Pertinent Robots in Gerontological Healthcare Xavier Alameda-Pineda Angus Addlesee Daniel Hernández García Chris Reinke Soraya Arias ... Pinchas Tandeitnik Francesco Tonini Nicolas Turro T. Wintz Yanchao Yu 42 3 0 11 Apr 2024
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 164 415 0 03 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 375 12,081 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 447 8,650 0 28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 2021