18 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CL2025
One Size Does Not Fit All: Distribution-Guided Tensor-Wise Adaptive Sparsification for Model Merging
Yingfeng Luo, Dingyang Lin, Junxin Wang +10
Merging multiple task-specific fine-tuned checkpoints into a single multi-task model provides an attractive alternative to joint multi-task training. To mitigate cross-task interfe…
cs.CL2024★ 18 cited
Efficient Prompting Methods for Large Language Models: A Survey
Kaiyan Chang, Songcheng Xu, Chenglong Wang +4
Prompting is a mainstream paradigm for adapting large language models to specific natural language processing tasks without modifying internal parameters. Therefore, detailed suppl…