Interpretability
8,292 papers
Papers per year
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5
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10
8
14
28
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204
363
512
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1,001
1,688
2,137
671
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Papers
Prompts have evil twins
EMNLP 2024
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks
ACL 2024
Properties and Challenges of LLM-Generated Explanations
NAACL 2024
PropTest: Automatic Property Testing for Improved Visual Programming
EMNLP 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data
ICML 2024
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
ICML 2024
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
IJCAI 2024
Prototype Learning for Explainable Brain Age Prediction
WACV 2024
Prototypical Transformer As Unified Motion Learners
ICML 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
NeurIPS 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions
ICML 2024
Provably Robust Conformal Prediction with Improved Efficiency
ICLR 2024
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output
EMNLP 2024
Pruning neural network models for gene regulatory dynamics using data and domain knowledge
NeurIPS 2024
PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization
COLING 2024
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety
ACL 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning
NeurIPS 2024
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
NAACL 2024
PyXAI: An XAI Library for Tree-Based Models
IJCAI 2024
QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
ICML 2024
Q-SENN: Quantized Self-Explaining Neural Networks
AAAI 2024
QualEval: Qualitative Evaluation for Model Improvement
NAACL 2024
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
NeurIPS 2024
Quantifying and Enhancing Multi-modal Robustness with Modality Preference
ICLR 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
EMNLP 2024