Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

18 March 2024

Papers citing "Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus"

7 / 7 papers shown

Title
UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces Alaa Saleh Sasu Tarkoma Praveen Kumar Donta Naser Hossein Motlagh Schahram Dustdar Susanna Pirttikangas Lauri Lovén 41 0 0 01 May 2025
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning Hosung Lee Sejin Kim Seungpil Lee Sanha Hwang Jihwan Lee Byung-Jun Lee Sundong Kim LRM 35 8 0 30 Jul 2024
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus Filipe Marinho Rocha Ines Dutra Vítor Santos Costa LRM 32 2 0 10 May 2024
Understanding and Patching Compositional Reasoning in LLMs Zhaoyi Li Gangwei Jiang Hong Xie Linqi Song Defu Lian Ying Wei LRM 46 20 0 22 Feb 2024
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation Zhaowei Wang Wei Fan Qing Zong Hongming Zhang Sehyun Choi Tianqing Fang Xin Liu Yangqiu Song Ginny Y. Wong Simon See 43 13 0 16 Feb 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 203 2,232 0 22 Mar 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 297 3,163 0 21 Mar 2022