most citedSurvey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 2 cited

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application

Chuanpeng Yang, Wang Lu, Yao Zhu +5

Large Language Models (LLMs) have showcased exceptional capabilities in various domains, attracting significant interest from both academia and industry. Despite their impressive p…

cs.LG2023

FedBone: Towards Large-Scale Federated Multi-Task Learning

Yiqiang Chen, Teng Zhang, Xinlong Jiang +3

Heterogeneous federated multi-task learning (HFMTL) is a federated learning technique that combines heterogeneous tasks of different clients to achieve more accurate, comprehensive…