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- MR-Ben: A Meta-Reasoning Benchmark for . . . - OpenReview
For example, with models like the o1 series from OpenAI demonstrat-ing strong performance by effectively scrutinizing the solution space, many other state-of-the-art models fall significantly behind on MR-Ben, exposing potential shortcomings in their training strategies and inference methodologies1
- Abstract arXiv:2109. 15102v2 [cs. CV] 5 Oct 2021
Abstract We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone The community has long enjoyed the benefits of synthesizing training data with graphics, but the domain gap between real and synthetic data has remained a problem, especially for human faces Researchers have tried to bridge this gap with data mixing, domain adaptation
- Evaluation of HDV stability under different biological sample . . .
In Brazil, the Amazon region has the highest rate of infection by the hepatitis Delta virus, and owing to regional difficulties in transporting and storing samples, especially in remote regions and isolated populations, the expansion of molecular diagnosis has become a significant public health problem This study aims to analyze the stability of HDV under different temperature and storage
- Efficient and safe substrates for black soldier fly biowaste . . .
ABSTRACT Black soldier fly larvae (BSFL) treatment is an emerging technology for the valori-sation of nutrients from biowaste Selecting suitable substrates for BSFL treatment is a frequent challenge for researchers and practitioners We conducted a system-atic assessment of BSFL treatment substrates in Nairobi, Kenya to source more substrate for upscaling an existing BSFL treatment facility
- Neural correlates of the deployment of spatial attention, and . . .
Introduction The ability to orient and control the deployment of our attention to spatial locations or fea-tures of our environment is essential to our ability to perform tasks, focusing on relevant stimuli and disregarding those that are unnecessary for the task at hand [1–3] A classic tech-nique for studying the deployment of attention in space is the Posner cueing paradigm, which
- arXiv:2305. 14696v1 [cs. CL] 24 May 2023
arXiv:2305 14696v1 [cs CL] 24 May 2023 SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
- UNIVERSITATEA PEDAGOGICĂ DE STAT „ION CREANGĂ” DIN CHIȘINĂU
Prin utilizarea regresiei ierarhice, s-a demonstrat că: trăsăturile de personalitate explică o proporție considerabilă din variația conștiinciozității (R² = 0,379); convingerile iraționale aduc un plus semnificativ (ΔR² = 0,032), iar scorul global la iraționalitate, autodeprecierea și toleranța scăzută la frustrare se
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