conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Interpretability

7,318 papers

Papers per year

Papers

Model Criticism for Long-Form Text Generation EMNLP 2022
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models EMNLP 2022
An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models EMNLP 2022
Azimuth: Systematic Error Analysis for Text Classification EMNLP 2022
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models EMNLP 2022
SEAL: Interactive Tool for Systematic Error Analysis and Labeling EMNLP 2022
Consultation Checklists: Standardising the Human Evaluation of Medical Note Generation EMNLP 2022
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection EMNLP 2022
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning EMNLP 2022
Automatic Rule Induction for Efficient Semi-Supervised Learning EMNLP 2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion EMNLP 2022
Acceptability Judgements via Examining the Topology of Attention Maps EMNLP 2022
Language Models Understand Us, Poorly EMNLP 2022
Improve Interpretability of Neural Networks via Sparse Contrastive Coding EMNLP 2022
Systematicity in GPT-3’s Interpretation of Novel English Noun Compounds EMNLP 2022
Influence Functions for Sequence Tagging Models EMNLP 2022
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization EMNLP 2022
Outlier Dimensions that Disrupt Transformers are Driven by Frequency EMNLP 2022
Transformer Language Models without Positional Encodings Still Learn Positional Information EMNLP 2022
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations EMNLP 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP 2022
Towards Explaining Subjective Ground of Individuals on Social Media EMNLP 2022
A Neural-Symbolic Approach to Natural Language Understanding EMNLP 2022
AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning EMNLP 2022
Towards Tracing Knowledge in Language Models Back to the Training Data EMNLP 2022