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Found 5 papers, 2 papers with code
FABLES: Evaluating faithfulness and content selection in book-length summarization
While LLM-based auto-raters have proven reliable for factuality and coherence in other settings, we implement several LLM raters of faithfulness and find that none correlates strongly with human annotations, especially with regard to detecting unfaithful claims.
Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing
Safely navigating street intersections is a complex challenge for blind and low-vision individuals, as it requires a nuanced understanding of the surrounding context - a task heavily reliant on visual cues.
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
However, not all samples in these datasets are equally valuable for learning, as some may be redundant or noisy.
LINDA: Unsupervised Learning to Interpolate in Natural Language Processing
Despite the success of mixup in data augmentation, its applicability to natural language processing (NLP) tasks has been limited due to the discrete and variable-length nature of natural languages.
Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient
Recently, several studies have investigated active learning (AL) for natural language processing tasks to alleviate data dependency.
