[NAACL 2024] Part-based, explainable and editable fine-grained image classifier that allows users to define a species in text
-
Updated
May 2, 2024 - Python
[NAACL 2024] Part-based, explainable and editable fine-grained image classifier that allows users to define a species in text
[NAACL 2024] Official Implementation of paper "Self-Adaptive Sampling for Efficient Video Question Answering on Image--Text Models"
[NAACL Findings 2024] Pruning as a Domain-specific LLM Extractor. Support LLaMA2.
Code and data of the paper "Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales," NAACL Findings 2024 (to appear)
Implementation for the paper Explaining Text Similarity in Transformer Models
[NAACL24] Official Implementation of Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
Add a description, image, and links to the naacl2024 topic page so that developers can more easily learn about it.
To associate your repository with the naacl2024 topic, visit your repo's landing page and select "manage topics."