AutoPyVerifier: Automatically Learning Compact Executable Verifiers
A research team has proposed the AutoPyVerifier framework, which automatically learns to generate compact Python executa…
Latest articles in Research
A research team has proposed the AutoPyVerifier framework, which automatically learns to generate compact Python executa…
LingBot-Map proposes a streaming 3D reconstruction method based on a Geometric Context Transformer, achieving a breakthr…
A new arXiv study proposes the 'Entropic Deviation' metric, systematically measuring the intrinsic non-randomness of lan…
Alibaba DAMO Academy, in collaboration with Guangdong Provincial People's Hospital, has released the colorectal cancer s…
A research team has proposed the TexOCR framework, which for the first time systematically addresses the problem of reco…
A new study proposes using neural networks to learn optimal wireless transmitter deployment locations from building maps…
A research team has proposed the PrivUn evaluation framework, which systematically examines the true effectiveness of ma…
A latest arXiv paper investigates the 'sandbagging effect' where large language models deliberately underperform under w…
Researchers propose the LTBs-KAN architecture, which solves the speed bottleneck of KAN networks through a linear-time B…
A new arXiv paper proposes an LLM reliability auditing framework for psychiatric hospitalization risk scoring, systemati…
Researchers propose LayerBoost, a method that intelligently replaces softmax attention mechanisms in Transformers throug…
On April 28, the Chinese Academy of Sciences officially launched the 'Panshi 100' model system. Built on a scientific fo…