Through the Thicket: A Study of Number-Oriented LLMs derived from Random
Forest Models

Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models

7 June 2024

Przemysław Sekuła

Katarzyna Kołodziej

Papers citing "Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models"

4 / 4 papers shown

Title
Large Language Models for Time Series: A Survey Xiyuan Zhang Ranak Roy Chowdhury Rajesh K. Gupta Jingbo Shang AI4TS 85 55 0 02 Feb 2024
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering Xiangyang Liu Tianqi Pang Chenyou Fan FedML LRM 42 25 0 27 Apr 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,248 0 21 Mar 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 313 11,953 0 04 Mar 2022