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cs.CL2024
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models
Jian Gu, Aldeida Aleti, Chunyang Chen +1
Finetuning language models (LMs) is crucial for adapting the models to downstream data and tasks. However, full finetuning is usually costly. Existing work, such as parameter-effic…
cs.CL2024
Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning
Jian Gu, Aldeida Aleti, Chunyang Chen +1
In-context learning enables language models (LM) to adapt to downstream data or tasks by incorporating few samples as demonstrations within the prompts. It offers strong performanc…