conftrace_

model interpretability

519 papers

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feature attribution (280) text classification (6793) neural network (6616) large language model (13587) explainable ai (480) model explanation (155) language model (4599) attention mechanism (4001) shapley value (206) representation learning (6206)

Papers

Hybrid Concept Bottleneck Models CVPR 2025
Explainable Saliency: Articulating Reasoning with Contextual Prioritization CVPR 2025
Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models EMNLP 2025
Using Shapley interactions to understand how models use structure ACL 2025
Attention Consistency for LLMs Explanation EMNLP 2025
Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework EMNLP 2025
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property IJCAI 2025
Internal Value Alignment in Large Language Models through Controlled Value Vector Activation ACL 2025
How Reliable are Causal Probing Interventions? IJCNLP 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks IJCAI 2025
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation NAACL 2025
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning EMNLP 2025
Token-Aware Editing of Internal Activations for Large Language Model Alignment EMNLP 2025
Attention IoU: Examining Biases in CelebA using Attention Maps CVPR 2025
Higher Order Structures for Graph Explanations AAAI 2025
Digital Socrates: Evaluating LLMs through Explanation Critiques ACL 2024
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024
LLM Factoscope: Uncovering LLMs’ Factual Discernment through Measuring Inner States ACL 2024
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks AAAI 2024
Towards Trustworthy Deep Learning AAAI 2024
Concept-Centric Transformers: Enhancing Model Interpretability Through Object-Centric Concept Learning Within a Shared Global Workspace WACV 2024
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent AAAI 2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles AAAI 2024