Bristol Myers Squibb, Sanofi, Pfizer, Roche, and Yarrow Bioscience all added to their pipelines this week in an end-of-year licensing deal flurry.
Correction: Improvements in physical activity and depression symptoms: an observational study of users of a multi-modal digital mental health platform
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Forecasting Excessive Anesthesia Depth Using EEG alpha-Spindle Dynamics and Machine Learning
arXiv:2512.14160v2 Announce Type: replace Abstract: Objectives. Accurately predicting transitions to anesthetic drugs overdosage is a critical challenge in general anesthesia as it requires the identification of EEG indicators relevant for anticipating the evolution of the depth of anesthesia. Methods. In this study, we introduce a real-time, data-driven framework based on alpha spindle dynamics extracted from […]
Hidden in the Haystack: Smaller Needles are More Difficult for LLMs to Find
arXiv:2505.18148v2 Announce Type: replace-cross Abstract: Large language models (LLMs) face significant challenges with needle-in-ahaystack tasks, where relevant information (“the needle”) must be drawn from a large pool of irrelevant context (“the haystack”). Previous studies have highlighted positional bias and distractor quantity as critical factors affecting model performance, yet the influence of gold context size, the […]
ChatGPT and Gemini participated in the Korean College Scholastic Ability Test — Earth Science I
arXiv:2512.15298v1 Announce Type: new Abstract: The rapid development of Generative AI is bringing innovative changes to education and assessment. As the prevalence of students utilizing AI for assignments increases, concerns regarding academic integrity and the validity of assessments are growing. This study utilizes the Earth Science I section of the 2025 Korean College Scholastic Ability […]
PMMD: A pose-guided multi-view multi-modal diffusion for person generation
arXiv:2512.15069v1 Announce Type: cross Abstract: Generating consistent human images with controllable pose and appearance is essential for applications in virtual try on, image editing, and digital human creation. Current methods often suffer from occlusions, garment style drift, and pose misalignment. We propose Pose-guided Multi-view Multimodal Diffusion (PMMD), a diffusion framework that synthesizes photorealistic person images […]
ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge
arXiv:2507.21990v3 Announce Type: replace-cross Abstract: While large language models (LLMs) have achieved impressive progress, their application in scientific domains such as chemistry remains hindered by shallow domain understanding and limited reasoning capabilities. In this work, we focus on the specific field of chemistry and develop a Chemical Reasoning LLM, ChemDFM-R. We first construct a comprehensive […]
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
arXiv:2512.15116v1 Announce Type: cross Abstract: Multivariate time series imputation is fundamental in applications such as healthcare, traffic forecasting, and biological modeling, where sensor failures and irregular sampling lead to pervasive missing values. However, existing Transformer- and diffusion-based models lack explicit inductive biases and frequency awareness, limiting their generalization under structured missing patterns and distribution shifts. […]
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness
arXiv:2512.15374v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly deployed in environments that generate massive, dynamic contexts. However, a critical bottleneck remains: while agents have access to this context, their static prompts lack the mechanisms to manage it effectively, leading to recurring Corrective and Enhancement failures. To address this capability gap, we […]
Motility-Driven Viscoelastic Control of Tissue Morphology in Presomitic Mesoderm
arXiv:2510.24314v2 Announce Type: replace-cross Abstract: Embryonic tissues deform across broad spatial and temporal scales and relax stress through active rearrangements. A quantitative link between cell-scale activity, spatial forcing, and emergent tissue-scale mechanics remains incomplete. Here, we use a vertex-based tissue model with active force fluctuations to study how motility controls viscoelastic response. After validation against […]