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Interpretability
7318 directly classified papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
CVPR 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning
CVPR 2025
Internal Chain-of-Thought: Empirical Evidence for Layer‐wise Subtask Scheduling in LLMs
EMNLP 2025
Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers
CVPR 2025
Identifying and Answering Questions with False Assumptions: An Interpretable Approach
EMNLP 2025
Linguistic and Embedding-Based Profiling of Texts Generated by Humans and Large Language Models
EMNLP 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
CVPR 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
CVPR 2025
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
CVPR 2025
On the Consistency of Video Large Language Models in Temporal Comprehension
CVPR 2025
Explainable Saliency: Articulating Reasoning with Contextual Prioritization
CVPR 2025
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
CVPR 2025
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
CVPR 2025
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
CVPR 2025
HalLoc: Token-level Localization of Hallucinations for Vision Language Models
CVPR 2025
Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?
CVPR 2025
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
CVPR 2025
Reasoning to Attend: Try to Understand How <SEG> Token Works
CVPR 2025
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought
CVPR 2025
LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations
EMNLP 2025
Understanding Subword Compositionality of Large Language Models
EMNLP 2025
Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
CVPR 2025
Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification
CVPR 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning
CVPR 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
CVPR 2025
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