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Interpretability

7,318 papers

Papers per year

Papers

LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets COLING 2024
Learning Bidirectional Morphological Inflection like Humans COLING 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024
Limitations of Human Identification of Automatically Generated Text COLING 2024
Logic Rules as Explanations for Legal Case Retrieval COLING 2024
Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge COLING 2024
Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models COLING 2024
Modeling the Quality of Dialogical Explanations COLING 2024
NarrativeTime: Dense Temporal Annotation on a Timeline COLING 2024
On the Relationship between Skill Neurons and Robustness in Prompt Tuning COLING 2024
PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity COLING 2024
Prompt-based Generation of Natural Language Explanations of Synthetic Lethality for Cancer Drug Discovery COLING 2024
Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process COLING 2024
PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization COLING 2024
Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding COLING 2024
SaGE: Evaluating Moral Consistency in Large Language Models COLING 2024
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning COLING 2024
Step Feasibility-Aware and Error-Correctable Entailment Tree Generation COLING 2024
Stories and Personal Experiences in the COVID-19 Discourse COLING 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction COLING 2024
Text Style Transfer Evaluation Using Large Language Models COLING 2024
The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models COLING 2024
Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios COLING 2024
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement COLING 2024
To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability COLING 2024