Some people find it useful to talk through their problems—but language isn't necessary for logical reasoning, cognitive ...
We introduce OneThinker, an all-in-one multimodal reasoning generalist that is capable of thinking across a wide range of fundamental visual tasks within a single model. OneThinker demonstrates strong ...
Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...
Enumerative search over a bounded DSL: it shines at small, composable transformations over numbers, strings, arrays and JSON. It is not general-purpose code generation.
Abstract: Despite recent advances in modern machine learning algorithms, the opaqueness of their underlying mechanisms continues to be an obstacle in adoption. To instill confidence and trust in ...