1 citations · 1 across the 4 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CL2024
NYK-MS: A Well-annotated Multi-modal Metaphor and Sarcasm Understanding Benchmark on Cartoon-Caption Dataset
Ke Chang, Hao Li, Junzhao Zhang +1
Metaphor and sarcasm are common figurative expressions in people's communication, especially on the Internet or the memes popular among teenagers. We create a new benchmark named N…
cs.AI2024
Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection
Hsiu-Yuan Huang, Zichen Wu, Yutong Yang +2
Large Language Models (LLMs) have shown remarkable performance across a wide range of downstream tasks. However, it is challenging for users to discern whether the responses of LLM…