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cs.CL2024
Input Conditioned Graph Generation for Language Agents
Lukas Vierling, Jie Fu, Kai Chen
Recent progress in Large Language Models (LLMs) and language agents has demonstrated significant promise for various future applications across multiple disciplines. While traditio…
cs.LG2024
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters
Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau +1
A good initialization of deep learning models is essential since it can help them converge better and faster. However, pretraining large models is unaffordable for many researchers…