338 citations · 453 across the 14 of their papers we have counts for
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cs.LG2024★ 3 cited
ToolACE: Winning the Points of LLM Function Calling
Weiwen Liu, Xu Huang, Xingshan Zeng +24
Function calling significantly extends the application boundary of large language models, where high-quality and diverse training data is critical for unlocking this capability. Ho…
cs.LG2021★ 20 cited
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
Jin Chen, Defu Lian, Binbin Jin +3
Variational AutoEncoder (VAE) has been extended as a representative nonlinear method for collaborative filtering. However, the bottleneck of VAE lies in the softmax computation ove…