conftrace_

model interpretability

519 papers

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Co-occurring keywords

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

On Measuring Faithfulness or Self-consistency of Natural Language Explanations ACL 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024
Improving Decision Sparsity NIPS 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles AAAI 2024
Interpretable Mesomorphic Networks for Tabular Data NIPS 2024
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers NAACL 2024
Factorized Explainer for Graph Neural Networks AAAI 2024
Finding Transformer Circuits With Edge Pruning NIPS 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability NIPS 2024
A Study on How Attention Scores in the BERT Model Are Aware of Lexical Categories in Syntactic and Semantic Tasks on the GLUE Benchmark COLING 2024
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks IJCAI 2024
Adventures of Trustworthy Vision-Language Models: A Survey AAAI 2024
Accelerating the Global Aggregation of Local Explanations AAAI 2024
Selective Explanations NIPS 2024
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation EMNLP 2024
Explanation Extraction from Hierarchical Classification Frameworks for Long Legal Documents NAACL 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction EMNLP 2024
PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure IJCAI 2024
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods CVPR 2024
Explaining Language Model Predictions with High-Impact Concepts EACL 2024
PromptExplainer: Explaining Language Models through Prompt-based Learning EACL 2024
Pre-trained Large Language Models Use Fourier Features to Compute Addition NIPS 2024
Distillation with Explanations from Large Language Models COLING 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NIPS 2024
Uncovering Syllable Constituents in the Self-Attention-Based Speech Representations of Whisper EMNLP 2024