Found 42,749 document(s)
Page 47 of 2850
-
Continuous flow language models offer a path to parallel generation with tools for control and acceleration unavailable to discrete diffusion, yet effective techniques for building them at the billion-parameter scale rem...
-
Stochastic gradient descent (SGD) is the cornerstone of modern deep learning, yet its theoretical convergence properties remain poorly understood in non-convex settings. To address this gap, we study SGD dynamics in deep...
-
Principals' perceptions of the education of gifted students play an important role, as teachers are those who mainly influence gifted students. Since there are no studies concerning principals' views on primary and secon...
-
This study contributes to the implementation of student-centered, multimodal teaching strategies that foster critical thinking through the creative writing of stories incorporating chemical concepts. These stories—some a...
-
How do you interact with people who don’t speak your language? Easy! You speak your language and they speak theirs, using specific communication strategies and shared vocabulary. With its expressly-scripted plurilingual ...
-
Open access biomedical research article published in Diagnostics (Basel)....
-
Open access biomedical research article published in Diagnostics (Basel)....
-
Open access biomedical research article published in Diagnostics (Basel)....
-
Operando and in-situ experiments extend powder X-ray diffraction (PXRD) to materials that evolve during experiments, producing series of hundreds or thousands of patterns. Such series are commonly refined one pattern at ...
-
In this report, we introduce Sage-A1.5, a 35B Mixture-of-Experts agentic model that builds on A1 to advance long-horizon problem solving through adaptive capability composition. Compared with A1, Sage-A1.5 learns not onl...
-
Continuous-time reinforcement learning seeks an optimal policy under unknown dynamics driven by stochastic differential equations using observations collected at discrete times. We develop a policy gradient framework tha...
-
First-person humanoid teleoperation ties access to side and rear targets to operator rotation. We present coupled visual--motor remapping, pairing a panoramic azimuth warp with its inverse upper-limb yaw transform. A wor...
-
RTL repair benchmarks should measure whether a model can fix broken RTL given a specification. To this end, we construct and hash-bind RTLRepairDataset, 5,784 (broken, fixed) training pairs; RTLRepairBench, 459 held-out ...
-
Neural implicit representations provide memory-efficient signed distance field (SDF) parameterizations for large-scale LiDAR scenes, but the geometry recovered from sparse and often noisy inputs carries jitter and artifa...
-
TS2Vec is one of the strongest self-supervised methods for time series classification, introduced in 2022. It is designed to be trained anew on every dataset: self-supervised pre-training followed by linear probing. Sinc...