Revisiting out-of-distribution robustness in nlp: Benchmarks, analysis, and LLMs evaluations
This paper reexamines the research on out-of-distribution (OOD) robustness in the field of
NLP. We find that the distribution shift settings in previous studies commonly lack adequate …
NLP. We find that the distribution shift settings in previous studies commonly lack adequate …
Cross-modal contrastive learning for speech translation
R Ye, M Wang, L Li - ar** contrastive learning for cross-prompt automated essay scoring
Y Chen, X Li - Proceedings of the 61st Annual Meeting of the …, 2023 - aclanthology.org
Current cross-prompt automated essay scoring (AES) is a challenging task due to the large
discrepancies between different prompts, such as different genres and expressions. The …
discrepancies between different prompts, such as different genres and expressions. The …