Summary of Parallelizing Autoregressive Generation with Variational State Space Models, by Gaspard Lambrechts et al.
Parallelizing Autoregressive Generation with Variational State Space Modelsby Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien…
Parallelizing Autoregressive Generation with Variational State Space Modelsby Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien…
Deconstructing What Makes a Good Optimizer for Language Modelsby Rosie Zhao, Depen Morwani, David Brandfonbrener,…
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformersby Souradip Poddar, Youngmin Oh, Yao…
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillationby Liqun Ma, Mingjie Sun,…
Prospective Messaging: Learning in Networks with Communication Delaysby Ryan Fayyazi, Christian Weilbach, Frank WoodFirst submitted…
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretrainingby Qi Zhang,…
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMsby Sheridan Feucht, David Atkinson,…
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agentsby Zihao Wang, Shaofei Cai, Zhancun Mu,…
Machine Learning Predictors for Min-Entropy Estimationby Javier Blanco-Romero, Vicente Lorenzo, Florina Almenares Mendoza, Daniel Díaz-SánchezFirst…
Wavelets Are All You Need for Autoregressive Image Generationby Wael Mattar, Idan Levy, Nir Sharon,…