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Interpretability

7,318 papers

Papers per year

Papers

Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles NIPS 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP NIPS 2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models NIPS 2024
Improving Alignment and Robustness with Circuit Breakers NIPS 2024
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NIPS 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NIPS 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NIPS 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NIPS 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NIPS 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) NIPS 2024
Large Language Models Must Be Taught to Know What They Don’t Know NIPS 2024
Neural Model Checking NIPS 2024
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model NIPS 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models NIPS 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NIPS 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NIPS 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NIPS 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NIPS 2024
The Intelligible and Effective Graph Neural Additive Network NIPS 2024
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NIPS 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NIPS 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NIPS 2024
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques NIPS 2024