On the Paradox of Learning to Reason from Data

23 May 2022

Papers citing "On the Paradox of Learning to Reason from Data"

8 / 8 papers shown

Title
Reasoning Capabilities and Invariability of Large Language Models Alessandro Raganato Rafael Peñaloza Marco Viviani G. Pasi ReLM LRM 76 0 0 01 May 2025
Reasoning Bias of Next Token Prediction Training Pengxiao Lin Zhongwang Zhang Zhi-Qin John Xu LRM 78 1 0 21 Feb 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin Zhaoran Wang LRM ReLM 30 0 0 27 Jan 2025
Can Transformers Reason Logically? A Study in SAT Solving Leyan Pan Vijay Ganesh Jacob Abernethy Chris Esposo Wenke Lee ReLM LRM 18 0 0 09 Oct 2024
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference Anton Xue Avishree Khare Rajeev Alur Surbhi Goel Eric Wong 24 2 0 21 Jun 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 30 25 0 25 Jan 2024
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning Da Yin Liunian Harold Li Ziniu Hu Nanyun Peng Kai-Wei Chang 75 41 0 14 Sep 2021
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling M. Crouse Ibrahim Abdelaziz Cristina Cornelio Veronika Thost Lingfei Wu Kenneth D. Forbus Achille Fokoue NAI AI4CE GNN 85 36 0 15 Nov 2019