Interpretability

Finding Transformer Circuits With Edge Pruning NeurIPS 2024 Fine-Grained and Interpretable Neural Speech Editing Interspeech 2024 Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention ICML 2024 Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking ICLR 2024 Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity AISTATS 2024 Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NeurIPS 2024 Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling EMNLP 2024 FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model ACL 2024 Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning ACL 2024 Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models ECCV 2024 Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024 Fora: A corpus and framework for the study of facilitated dialogue ACL 2024 FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures COLING 2024 Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics ICML 2024 Formal Argumentation in Symbolic AI IJCAI 2024 Formalisation and Evaluation of Properties for Consequentialist Machine Ethics IJCAI 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024 Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024 Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models ICLR 2024 Frequency Explains the Inverse Correlation of Large Language Models’ Size, Training Data Amount, and Surprisal’s Fit to Reading Times EACL 2024 FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs EMNLP 2024 From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024 From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP EMNLP 2024 From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning NAACL 2024 From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models EMNLP 2024