Parameter-efficient fine-tuning for large models: A comprehensive survey
Large models represent a groundbreaking advancement in multiple application fields,
enabling remarkable achievements across various tasks. However, their unprecedented …
enabling remarkable achievements across various tasks. However, their unprecedented …
Survey of different large language model architectures: Trends, benchmarks, and challenges
Large Language Models (LLMs) represent a class of deep learning models adept at
understanding natural language and generating coherent responses to various prompts or …
understanding natural language and generating coherent responses to various prompts or …
Cross-Lingual Summarization with Pseudo-Label Regularization
T Le - Findings of the Association for Computational …, 2024 - aclanthology.org
Abstract Cross-Lingual Summarization (XLS) aims to summarize a document in the source
language into a condensed version in the target language, effectively removing language …
language into a condensed version in the target language, effectively removing language …