Summary of Llm Processes: Numerical Predictive Distributions Conditioned on Natural Language, by James Requeima et al.
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Languageby James Requeima, John Bronskill, Dami Choi,…
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Languageby James Requeima, John Bronskill, Dami Choi,…
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamicsby Liming Wu, Zhichao Hou, Jirui Yuan,…
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flowsby Sibylle Marcotte, Rémi Gribonval, Gabriel PeyréFirst…
Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for…
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniquesby Manh Khoi Duong, Stefan ConradFirst…
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservationby Andres Hernandez, Zhongqi Miao, Luisa Vargas, Sara…
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMsby Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun…
Truncated Variance Reduced Value Iterationby Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi WangFirst submitted to…
Learning the Infinitesimal Generator of Stochastic Diffusion Processesby Vladimir R. Kostic, Karim Lounici, Helene Halconruy,…
A Method on Searching Better Activation Functionsby Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang,…