Interpretability

Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NeurIPS 2023 Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation EMNLP 2023 TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection WACV 2023 TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering ICCV 2023 Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions ACL 2023 ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind CoNLL 2023 TopicFM: Robust and Interpretable Topic-Assisted Feature Matching AAAI 2023 Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too? EMNLP 2023 Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge ICCV 2023 Toward Robust Uncertainty Estimation with Random Activation Functions AAAI 2023 Towards a fuller understanding of neurons with Clustered Compositional Explanations NeurIPS 2023 Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models EMNLP 2023 Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models EMNLP 2023 Towards Automated Circuit Discovery for Mechanistic Interpretability NeurIPS 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023 Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten ICML 2023 Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP 2023 Towards Detecting Harmful Agendas in News Articles ACL 2023 Towards Effective Disambiguation for Machine Translation with Large Language Models EMNLP 2023 Towards Explainable and Accessible AI EMNLP 2023 Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automatic Essay Scoring Models ACL 2023 Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023 Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network AAAI 2023 Towards General Error Diagnosis via Behavioral Testing in Machine Translation EMNLP 2023 Towards Improved Input Masking for Convolutional Neural Networks ICCV 2023