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Interpretability

7,452 papers

Papers per year

5
14
488
1716
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Papers

On the Use of Plausible Arguments in Explainable Conversational AI INTERSPEECH 2024
Non-Linear Inference Time Intervention: Improving LLM Truthfulness INTERSPEECH 2024
Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models INTERSPEECH 2024
Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0 INTERSPEECH 2024
Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing INTERSPEECH 2024
Leveraging Language Model Capabilities for Sound Event Detection INTERSPEECH 2024
Decorrelated Variable Importance JMLR 2024
Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024
Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series JMLR 2024
Decomposing Global Feature Effects Based on Feature Interactions JMLR 2024
Interpretable data-driven model predictive control of building energy systems using SHAP L4DC 2024
Uncertainty quantification and robustification of model-based controllers using conformal prediction L4DC 2024
Pointwise-in-time diagnostics for reinforcement learning during training and runtime L4DC 2024
Conditions for parameter unidentifiability of linear ARX systems for enhancing security L4DC 2024
An Interactive Framework for Profiling News Media Sources NAACL 2024
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models NAACL 2024
Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks NAACL 2024
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning NAACL 2024
On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024
Identifying Linear Relational Concepts in Large Language Models NAACL 2024
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks NAACL 2024
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI NAACL 2024
QualEval: Qualitative Evaluation for Model Improvement NAACL 2024
Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis NAACL 2024
Program-Aided Reasoners (Better) Know What They Know NAACL 2024