CausaLM: Causal Model Explanation Through Counterfactual Language Models

27 May 2020

Papers citing "CausaLM: Causal Model Explanation Through Counterfactual Language Models"

28 / 28 papers shown

Title
Representing Rule-based Chatbots with Transformers Dan Friedman Abhishek Panigrahi Danqi Chen 59 1 0 15 Jul 2024
Beyond Individual Facts: Investigating Categorical Knowledge Locality of Taxonomy and Meronomy Concepts in GPT Models Christopher Burger Yifan Hu Thai Le KELM 34 0 0 22 Jun 2024
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection Jiarui Zhang Shaojuan Wu Xiaowang Zhang Zhiyong Feng 29 0 0 16 May 2024
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia Giovanni Monea Maxime Peyrard Martin Josifoski Vishrav Chaudhary Jason Eisner Emre Kiciman Hamid Palangi Barun Patra Robert West KELM 47 12 0 04 Dec 2023
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality Caoyun Fan Wenqing Chen Jidong Tian Yitian Li Hao He Yaohui Jin 34 6 0 11 Oct 2023
A Geometric Notion of Causal Probing Clément Guerner Anej Svete Tianyu Liu Alex Warstadt Ryan Cotterell LLMSV 34 12 0 27 Jul 2023
Entity-Based Evaluation of Political Bias in Automatic Summarization Karen Zhou Chenhao Tan 24 1 0 03 May 2023
A Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Images Yael Badian Yaakov Ophir Refael Tikochinski Nitay Calderon A. Klomek Roi Reichart 10 4 0 19 Feb 2023
On the Transformation of Latent Space in Fine-Tuned NLP Models Nadir Durrani Hassan Sajjad Fahim Dalvi Firoj Alam 27 18 0 23 Oct 2022
Probing with Noise: Unpicking the Warp and Weft of Embeddings Filip Klubicka John D. Kelleher 24 4 0 21 Oct 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 68 35 0 28 Sep 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 13 36 0 08 Jun 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 133 183 0 31 May 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 28 10 0 31 Mar 2022
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis Shaobo Li Xiaoguang Li Lifeng Shang Zhenhua Dong Chengjie Sun Bingquan Liu Zhenzhou Ji Xin Jiang Qun Liu KELM 24 53 0 31 Mar 2022
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language Soumya Sanyal Harman Singh Xiang Ren ReLM LRM 13 44 0 19 Mar 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 16 29 0 02 Feb 2022
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 19 59 0 22 Jan 2022
Sparse Interventions in Language Models with Differentiable Masking Nicola De Cao Leon Schmid Dieuwke Hupkes Ivan Titov 25 27 0 13 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas F. Icard Noah D. Goodman Christopher Potts CML OOD 10 70 0 01 Dec 2021
On the Pitfalls of Analyzing Individual Neurons in Language Models Omer Antverg Yonatan Belinkov MILM 14 49 0 14 Oct 2021
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 22 79 0 30 Aug 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 17 94 0 02 Mar 2021
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 879 0 03 May 2018
How to Make Causal Inferences Using Texts Naoki Egami Christian Fong Justin Grimmer Margaret E. Roberts Brandon M Stewart CML 11 136 0 06 Feb 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 207 718 0 12 May 2016