Interpretability
8,292 papers
Papers per year
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10
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14
28
84
204
363
512
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1,001
1,688
2,137
671
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'25
Papers
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
ACL 2025
AnCast++: Document-Level Evaluation of Graph-based Meaning Representations
ACL 2025
Anchored Answers: Unravelling Positional Bias in GPT-2’s Multiple-Choice Questions
ACL 2025
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
EMNLP 2025
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
ACL 2025
An Engorgio Prompt Makes Large Language Model Babble on
ICLR 2025
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
ICML 2025
An Exploration of Interpretable Deep Learning Models for the Assessment of Mild Cognitive Impairment
Interspeech 2025
Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity
ICLR 2025
An in-depth human study of the mathematical reasoning abilities in Large Language Models
EMNLP 2025
An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues
NAACL 2025
An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
ICML 2025
An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech
Interspeech 2025
A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders
MIDL 2025
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
ICLR 2025
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
CVPR 2025
An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending
AAAI 2025
Any-Resolution AI-Generated Image Detection by Spectral Learning
CVPR 2025
Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
ICLR 2025
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
ICML 2025
A Practical Method for Generating String Counterfactuals
NAACL 2025
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
NAACL 2025
AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models
EMNLP 2025
AraHalluEval: A Fine-grained Hallucination Evaluation Framework for Arabic LLMs
EMNLP 2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
ICML 2025