conftrace_

model interpretability

519 papers

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Co-occurring keywords

feature attribution (280) text classification (6793) neural network (6616) large language model (13587) explainable ai (480) model explanation (155) language model (4599) attention mechanism (4001) shapley value (206) representation learning (6206)

Papers

Digital Socrates: Evaluating LLMs through Explanation Critiques ACL 2024
Brain Decodes Deep Nets CVPR 2024
Interpretability-based Tailored Knowledge Editing in Transformers EMNLP 2024
Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024
Distillation with Explanations from Large Language Models COLING 2024
Auditing Local Explanations is Hard NIPS 2024
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024
Latent Concept-based Explanation of NLP Models EMNLP 2024
Promoting Counterfactual Robustness through Diversity AAAI 2024
Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024
Explaining Language Model Predictions with High-Impact Concepts EACL 2024
Sparse and Faithful Explanations Without Sparse Models AISTATS 2024
SemLa: A Visual Analysis System for Fine-Grained Text Classification AAAI 2024
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision AAAI 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics NIPS 2024
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations NAACL 2024
UMB: Understanding Model Behavior for Open-World Object Detection NIPS 2024
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks IJCAI 2024
Graph Learning for Numeric Planning NIPS 2024
Concept-Centric Transformers: Enhancing Model Interpretability Through Object-Centric Concept Learning Within a Shared Global Workspace WACV 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024
Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal ACL 2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024