2 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
Ailin Huang, Boyong Wu, Bruce Wang +142
Real-time speech interaction, serving as a fundamental interface for human-machine collaboration, holds immense potential. However, current open-source models face limitations such…
SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
Jiayi Pan, Chengcan Wang, Kaifu Zheng +3
Large language models (LLMs) have shown remarkable capabilities in various tasks. However their huge model size and the consequent demand for computational and memory resources als…
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
Hao Wang, Yangguang Li, Zhen Huang +1
With the rapid development of automatic fake news detection technology, fact extraction and verification (FEVER) has been attracting more attention. The task aims to extract the mo…