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cs.LG2025
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
StepFun, :, Bin Wang +195
Large language models (LLMs) face low hardware efficiency during decoding, especially for long-context reasoning tasks. This paper introduces Step-3, a 321B-parameter VLM with hard…
cs.LG2024
Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation
Hanqiu Chen, Xuebin Yao, Pradeep Subedi +1
Edge computing is a distributed computing paradigm that collects and processes data at or near the source of data generation. The on-device learning at edge relies on device-to-dev…