Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning

30 May 2023

Papers citing "Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning"

4 / 4 papers shown

Title
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks Rahul Ramesh Ekdeep Singh Lubana Mikail Khona Robert P. Dick Hidenori Tanaka CoGe 27 6 0 21 Nov 2023
Learning to Reason and Memorize with Self-Notes Jack Lanchantin Shubham Toshniwal Jason Weston Arthur Szlam Sainbayar Sukhbaatar ReLM LRM LLMAG 88 28 0 01 May 2023
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 315 8,402 0 28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021