Traditional methods, relying solely on formal proof data, overlook valuable informal reasoning processes crucial to human mathematicians. The absence of natural language thought processes in formal proofs creates a significant gap between human reasoning and machine-driven proofs. Existing language models specialized for generating tactics in formal mathematics often fail to leverage the benefits of thought… →
Recently, diffusion models have become powerful tools in various fields, like image and 3D object generation. Their success comes from their ability to handle denoising tasks with different types of noise, efficiently turning random noise into the target data distribution through repeated denoising steps. Using Transformer-based structures, it has been shown that adding more parameters… →
Large language models (LLMs) demonstrate proficiency in information retrieval and creative writing, with notable improvements in mathematics and coding. ZebraLogic, a benchmark consisting of Logic Grid Puzzles, assesses LLMs’ logical reasoning capabilities. Each puzzle presents N houses with M features, requiring unique value assignments based on given clues. This task, a Constraint Satisfaction Problem (CSP),… →
CONCLUSIONS: The majority of patients treated with cemiplimab reported improvement or maintenance in GHS/QoL and functioning while maintaining a low symptom burden. →
CONCLUSIONS: The follicle width and length are effective parameters for evaluating the efficacy of type A botulinum toxin treatment for AGA. Ultrasound revealed that the changes in follicles at the vertex occurred earlier than those in the left frontal area following treatment. Additionally, the changes in follicles were detected earlier than the changes in hair… →
BACKGROUND: Behavioral activation has gained increasing attention as an effective treatment for depression. However, the effectiveness of Behavioral Activation Group Therapy (BAGT) in controlled conditions compared to its self-help programs requires more investigation. The present study aimed to compare their effectiveness on depressive symptoms, repetitive negative thinking (RNT), and performance in patients with major depressive… →
BACKGROUND: Vaccination constitutes an attractive control measure for hepatitis E virus (HEV), a major cause of maternal and perinatal mortality globally. Analysis of pregnant participants in an effectiveness trial of the HEV vaccine HEV239 showed possible HEV239-associated fetal losses. We aimed to conduct a detailed analysis of this safety signal. →
DeepSeek has recently released its latest open-source model on Hugging Facel, DeepSeek-V2-Chat-0628. This release marks a significant advancement in AI-driven text generation and chatbot technology capabilities, positioning DeepSeek at the forefront of the industry. DeepSeek-V2-Chat-0628 is an enhanced iteration of the previous DeepSeek-V2-Chat model. This new version has been meticulously refined to deliver superior performance… →
Automating mathematical reasoning has long been a goal in artificial intelligence, with formal frameworks like Lean 4, Isabelle, and Coq playing a significant role. These frameworks enable users to write machine-verifiable proofs of mathematical theorems, providing a structured environment for proving complex problems. Developing neural theorem-provers, which aim to automate this process, requires rigorous benchmarks… →
Language models (LMs) face significant challenges related to privacy and copyright concerns due to their training on vast amounts of text data. The inadvertent inclusion of private and copyrighted content in training datasets has led to legal and ethical issues, including copyright lawsuits and compliance requirements with regulations like GDPR. Data owners increasingly demand the… →