Interpretability
8,292 papers
Papers per year
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1
1
1
5
2
10
8
14
28
84
204
363
512
710
850
1,001
1,688
2,137
671
'10
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'25
Papers
Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection
COLING 2025
Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction
EMNLP 2025
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models
ICCV 2025
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
EMNLP 2025
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution
COLING 2025
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models
ACL 2025
LATTE: Learning to Think with Vision Specialists
EMNLP 2025
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond
ICCV 2025
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
AAAI 2025
Learning Accurate and Interpretable Decision Trees (Extended Abstract)
IJCAI 2025
Learning Causal Alignment for Reliable Disease Diagnosis
ICLR 2025
Learning Counterfactually Decoupled Attention for Open-World Model Attribution
ICCV 2025
Learning Dynamics of LLM Finetuning
ICLR 2025
Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention
IJCNLP 2025
Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
IJCNLP 2025
Learning Geometric Reasoning Networks For Robot Task And Motion Planning
ICLR 2025
Learning Interpretable Features from Interventions
RSS 2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
ICCV 2025
Learning LLM-as-a-Judge for Preference Alignment
ICLR 2025
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
AAAI 2025
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
ICML 2025
Learning Soft Sparse Shapes for Efficient Time-Series Classification
ICML 2025
Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
ACL 2025
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance
IJCAI 2025
Learning to Route LLMs with Confidence Tokens
ICML 2025