BlueLM-2.5-3B Technical Report

Kavli Affiliate: Feng Wang | First 5 Authors: Baojiao Xiong, Baojiao Xiong, , , | Summary: We present BlueLM-2.5-3B, a compact and unified dense Multimodal Large Language Model (MLLM) designed for efficient edge-device deployment, offering strong general-purpose and reasoning capabilities. To the best of our knowledge, this is the first 3B-scale MLLM to support both […]


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Noise-Canceling Quantum Feedback: non-Hermitian Dynamics with Applications to State Preparation and Magic State Distillation

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Tathagata Karmakar, Tathagata Karmakar, , , | Summary: Time-continuous quantum measurement allows for the tracking of a quantum system in real time via sequences of short, and individually weak, measurement intervals. Such measurements are necessarily invasive, imparting backaction to the system, and allowing the observer to update […]


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MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew C. Kuner, Matthew C. Kuner, , , | Summary: We present MP-ALOE, a dataset of nearly 1 million DFT calculations using the accurate r2SCAN meta-generalized gradient approximation. Covering 89 elements, MP-ALOE was created using active learning and primarily consists of off-equilibrium structures. We benchmark a […]


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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Kavli Affiliate: Felix Fischer | First 5 Authors: Gheorghe Comanici, Gheorghe Comanici, , , | Summary: In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our most capable model yet, achieving SoTA […]


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Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Ting Xu, , , | Summary: This paper addresses the challenges posed by the unstructured nature and high-dimensional semantic complexity of electronic health record texts. A deep learning method based on attention mechanisms is proposed to achieve unified modeling for information extraction and multi-label disease […]


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High-quality metalens enables minimally invasive CFB endoscopy

Kavli Affiliate: Feng Wang | First 5 Authors: Ruixiang Song, Ruixiang Song, , , | Summary: Metalenses, owing to their ultra-thin planar structures, present a promising solution for reducing endoscopic invasiveness. However, achieving high-quality imaging with minimal invasiveness (short focal length of metalens) remains a critical challenge. This paper presents a deep learning assisted metalens […]


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Modulating task outcome value to mitigate real-world procrastination via noninvasive brain stimulation

Kavli Affiliate: Ting Xu | First 5 Authors: Zhiyi Chen, Zhiyi Chen, , , | Summary: Procrastination represents one of the most prevalent behavioral problems affecting individual health and societal productivity. Although it is often conceptualized as a form of self-control failure, its underlying neurocognitive mechanisms are poorly understood. A leading model posits that procrastination […]


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First High-Throughput Evaluation of Dark Matter Detector Materials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Sinéad M. Griffin, Sinéad M. Griffin, , , | Summary: We perform the first high-throughput search and evaluation of materials that can serve as excellent low-mass dark matter detectors. Using properties of close to one thousand materials from the Materials Project database, we project the sensitivity […]


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Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Haiwen Dai, Haiwen Dai, , , | Summary: Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and experimental validation. In this work, we present an end-to-end discovery framework that leverages synthesizability, oxidation state […]


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YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework

Kavli Affiliate: Ting Xu | First 5 Authors: Dahang Wan, Rongsheng Lu, Yang Fang, Xianli Lang, Shuangbao Shu | Summary: Multispectral object detection, which integrates information from multiple bands, can enhance detection accuracy and environmental adaptability, holding great application potential across various fields. Although existing methods have made progress in cross-modal interaction, low-light conditions, and […]


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