Interpretability

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations ICLR 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing AAAI 2024 Enhancing adversarial robustness in Natural Language Inference using explanations EMNLP 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients ICML 2024 Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement EACL 2024 Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks COLING 2024 Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants EMNLP 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control NeurIPS 2024 Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition EMNLP 2024 Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus NeurIPS 2024 Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach ACL 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NeurIPS 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Epistemology of Language Models: Do Language Models Have Holistic Knowledge? ACL 2024 ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NeurIPS 2024 Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models ACL 2024 ESCoT: Towards Interpretable Emotional Support Dialogue Systems ACL 2024 Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models COLING 2024 Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works EMNLP 2024 Evaluating language models as risk scores NeurIPS 2024