GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Michael Ginn, Lori Levin(Carnegie Mellon University), Taiqi He(Carnegie Mellon University), Lindia Tjuatja(Carnegie Mellon University), Enora Rice, Alexis Palmer, Graham Neubig(Carnegie Mellon University)
Cited by 1
Related Papers
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
|ACM Computing Surveys|2022|3.5k
Language Models of Code are Few-Shot Commonsense Learners
|Unknown|2022|106
PAL: Program-aided Language Models
|arXiv (Cornell University)|2022|104
Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design
|Transactions of the Association for Computational Linguistics|2024|61