2 papers
cs.CL2025
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
Zhipeng Chen, Kun Zhou, Liang Song +4
Multi-lingual ability transfer has become increasingly important for the broad application of large language models (LLMs). Existing work highly relies on training with the multi-l…
cs.CL2024
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
Yuyan Zhou, Liang Song, Bingning Wang +1
The advent of large language models (LLMs) like GPT-4 has catalyzed the exploration of multi-task learning (MTL), in which a single model demonstrates proficiency across diverse ta…