Interpretability
8,292 papers
Papers per year
1
1
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
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
NAACL 2025
One fish, two fish, but not the whole sea: Alignment reduces language models’ conceptual diversity
NAACL 2025
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
ICLR 2025
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
ICML 2025
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
WACV 2025
On Localizing and Deleting Toxic Memories in Large Language Models
NAACL 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
ACL 2025
On Reducing Factual Hallucinations in Graph-to-Text Generation Using Large Language Models
COLING 2025
On Relation-Specific Neurons in Large Language Models
EMNLP 2025
On Support Samples of Next Word Prediction
ACL 2025
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
ICCV 2025
On the Consistency of Commonsense in Large Language Models
ACL 2025
On the Consistency of Video Large Language Models in Temporal Comprehension
CVPR 2025
On the Convergence of Moral Self-Correction in Large Language Models
IJCNLP 2025
On the Feasibility of In-Context Probing for Data Attribution
NAACL 2025
On the Generalization of Representation Uncertainty in Earth Observation
ICCV 2025
On the Hölder Stability of Multiset and Graph Neural Networks
ICLR 2025
On the Mutual Influence of Gender and Occupation in LLM Representations
ACL 2025
On the reliability of feature attribution methods for speech classification
Interspeech 2025
On the Representations of Entities in Auto-regressive Large Language Models
EMNLP 2025
On the Role of Attention Heads in Large Language Model Safety
ICLR 2025
On the Versatility of Sparse Autoencoders for In-Context Learning
EMNLP 2025
Open Domain Question Answering with Conflicting Contexts
NAACL 2025
OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
ICLR 2025
OpenViewer: Openness-Aware Multi-View Learning
AAAI 2025