Analyzing Chain-of-Thought Prompting in Large Language Models via
Gradient-based Feature Attributions

Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

25 July 2023

Charumathi Badrinath

Jiaqi Ma

Himabindu Lakkaraju

Papers citing "Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions"

6 / 6 papers shown

Title
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou Zhaocheng Zhu Xuan Li Mikhail Galkin Xiao Feng Sanmi Koyejo Jian Tang Bo Han LRM 56 0 0 28 Mar 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 64 28 0 30 Aug 2024
Securing the Future of GenAI: Policy and Technology Mihai Christodorescu Craven S. Feizi Neil Zhenqiang Gong Mia Hoffmann ... Jessica Newman Emelia Probasco Yanjun Qi Khawaja Shams Turek SILM 26 3 0 21 May 2024
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 144 116 0 16 Sep 2022
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 3,236 0 21 Mar 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 172 185 0 03 Feb 2022