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Interpretability

7,452 papers

Papers per year

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14
488
1716
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Papers

BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens NIPS 2024
Coarse-to-Fine Concept Bottleneck Models NIPS 2024
A Polar coordinate system represents syntax in large language models NIPS 2024
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning NIPS 2024
Iteration Head: A Mechanistic Study of Chain-of-Thought NIPS 2024
Optimal ablation for interpretability NIPS 2024
Hierarchical Selective Classification NIPS 2024
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs NIPS 2024
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models NIPS 2024
Causal Dependence Plots NIPS 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning NIPS 2024
Symmetry Discovery Beyond Affine Transformations NIPS 2024
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NIPS 2024
Calibrating Reasoning in Language Models with Internal Consistency NIPS 2024
Adaptable Logical Control for Large Language Models NIPS 2024
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks NIPS 2024
Uncovering Safety Risks of Large Language Models through Concept Activation Vector NIPS 2024
Conformalized Credal Set Predictors NIPS 2024
Truthfulness of Calibration Measures NIPS 2024
Pruning neural network models for gene regulatory dynamics using data and domain knowledge NIPS 2024
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NIPS 2024
MambaLRP: Explaining Selective State Space Sequence Models NIPS 2024
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work) NIPS 2024
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation NIPS 2024
Towards Neuron Attributions in Multi-Modal Large Language Models NIPS 2024