LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

23 January 2024

Qianli Wang

Tatiana Anikina

Nils Feldhus

Sebastian Möller

Papers citing "LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations"

24 / 24 papers shown

Title
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation Qianli Wang Nils Feldhus Simon Ostermann Luis Felipe Villa-Arenas Sebastian Möller Vera Schmitt AAML 95 1 0 01 Jan 2025
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models Lei Wang Wanyu Xu Yihuai Lan Zhiqiang Hu Yunshi Lan Roy Ka-wei Lee Ee-Peng Lim ReLM LRM 110 345 0 06 May 2023
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models Edoardo Mosca Daryna Dementieva Tohid Ebrahim Ajdari Maximilian Kummeth Kirill Gringauz Yutong Zhou Georg Groh 71 8 0 06 Mar 2023
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 318 348 0 02 Feb 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 52 149 0 16 Dec 2021
8-bit Optimizers via Block-wise Quantization Tim Dettmers M. Lewis Sam Shleifer Luke Zettlemoyer MQ 112 297 0 06 Oct 2021
A Survey on Automated Fact-Checking Zhijiang Guo Michael Schlichtkrull Andreas Vlachos 85 490 0 26 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 69 231 0 10 Aug 2021
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic Arkadiy Saakyan Tuhin Chakrabarty Smaranda Muresan HILM 48 119 0 07 Jun 2021
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 363 205 0 18 Apr 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 94 249 0 01 Jan 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 66 122 0 27 Dec 2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 61 63 0 20 Oct 2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models Ian Tenney James Wexler Jasmijn Bastings Tolga Bolukbasi Andy Coenen ... Ellen Jiang Mahima Pushkarna Carey Radebaugh Emily Reif Ann Yuan VLM 119 195 0 12 Aug 2020
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation Dustin L. Arendt Zhuanyi Huang Prasha Shrestha Ellyn Ayton M. Glenski Svitlana Volkova 61 8 0 16 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,193 0 27 Aug 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 408 637 0 04 Dec 2018
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task Tao Yu Rui Zhang Kai-Chou Yang Michihiro Yasunaga Dongxu Wang ... Irene Li Qingning Yao Shanelle Roman Zilin Zhang Dragomir R. Radev RALM 92 1,231 0 24 Sep 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 145 1,652 0 14 Mar 2018
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 182 5,986 0 04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 549 27,300 0 01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,292 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 591 15,876 0 12 Nov 2013