Medical imaging pretraining reveals asymmetric cross-domain scaling and power-law transfer, yielding optimized data allocations with a hub-and-island structure that improves transfer over proportional sampling by up to 58%.
TherapyGym introduces CTRS-based fidelity and multi-label safety evaluation for therapy chatbots, with RL training raising expert-rated CBT adherence from 0.10 to 0.60.
Min-sliced transport plans transfer optimized slicers across related distributions with theoretical guarantees and efficient minibatch scaling for matching and generation.
A retinal model with a novel opsin layer simulates color vision evolution and optimizes task-specific camera spectral filters via mutation-driven adaptation.
Systematic evaluation finds traversal verification dominates multi-path speculative decoding, so delayed tree expansion and a dynamic neural selector boost optimal-transport verification to surpass it by 5% throughput.
BioBlobs is an encoder-agnostic framework that compresses proteins into cohesive substructures to predict function and unsupervisedly discovers functional sites like catalytic triads. It matches baselines using only a small residue fraction, recovers experimentally annotated catalytic sites, and sca
BEAGLE is a neuro-symbolic framework that embeds self-regulated learning theory to simulate novice programming behaviors and resists competency bias, producing student traces indistinguishable from real data in human evaluation.