ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering Paper • 2410.05077 • Published Oct 7 • 2
ZEBRA Collection Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering • 12 items • Updated Oct 9 • 8
Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In! Paper • 2408.13831 • Published Aug 25 • 4
MT Sentinel Metrics Collection Machine Translation (MT) metrics designed explicitly to scrutinize the MT meta-evaluation process’s accuracy, robustness, and fairness. • 7 items • Updated Aug 30 • 6
Maverick Coreference Resolution Collection Efficient and Accurate Coreference Resolution models. • 3 items • Updated Jul 31 • 9
Word Sense Linking Collection Word Sense Linking is the task designed to identify and disambiguate spans of text to their most suitable senses from a reference inventory. • 5 items • Updated Aug 5 • 3
FENICE Collection FENICE is a metric for summarization factuality, with a focus on interpretability. FENICE leverages NLI and claim extraction to assess factuality • 3 items • Updated Aug 25 • 3