TalkToModel: Explaining Machine Learning Models with Interactive Natural
Language Conversations

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

8 July 2022

Satyapriya Krishna

Himabindu Lakkaraju

Papers citing "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations"

12 / 12 papers shown

Title
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users Julian Rosenberger Philipp Schröppel Sven Kruschel Mathias Kraus Patrick Zschech Maximilian Förster FAtt 29 0 0 11 May 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 26 0 0 09 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 57 0 0 14 Apr 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant Gaole He Nilay Aishwarya U. Gadiraju 46 6 0 29 Jan 2025
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition Gaole He Patrick Hemmer Michael Vossing Max Schemmer U. Gadiraju 45 0 0 19 Jan 2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 48 2 0 28 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 53 2 0 05 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 74 28 0 30 Aug 2024
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 34 11 0 09 Oct 2023
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 186 186 0 03 Feb 2022
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 301 198 0 18 Apr 2021
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 60 195 0 06 Apr 2017