2 citations · 4 across the 4 of their papers we have counts for
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cs.LG2024★ 1 cited
Multi-Task Model Merging via Adaptive Weight Disentanglement
Feng Xiong, Runxi Cheng, Wang Chen +4
Model merging has recently gained attention as an economical and scalable approach to incorporate task-specific weights from various tasks into a unified multi-task model. For exam…
cs.CL2024★ 1 cited
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
Shijue Huang, Wanjun Zhong, Jianqiao Lu +10
The recent trend of using Large Language Models (LLMs) as tool agents in real-world applications underscores the necessity for comprehensive evaluations of their capabilities, part…