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3,243 papers
The Multi-Hypothesis Verification Framework (MHVF) is proposed for training-free GUI grounding that combines multi-hypothesis exploration with local visual verification using a single pretrained vision-language model.
RepProbe, a benchmark of 42K real and synthetic video clips containing exactly k in [1, 20] complete repetitions, finds a consistent representation-to-output dissociation: substantial count information remains linearly decodable even when models fail to report the correct count.
Chronic pain management requires complex multidisciplinary reasoning integrating pharmacological, interventional, rehabilitative, and psychosocial approaches across multiple guideline frameworks (International Association for the Study of Pain [IASP], American College of Rheumatology [ACR], European Alliance of Associa...
Mark Feng Teng incorporates authentic materials into his academic writing classes in Macao to expose students to real-life language use and designs tasks to develop communicative skills. He structures lessons into three phases: teacher’s time, when he models academic skills that students will use later; learners’ time,...
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Background: Simulation may supplement operative exposure in cleft lip surgery, but the strength and clinical relevance of evidence remain uncertain. This systematic review evaluated cleft lip repair simulators, focusing on characteristics, validity evidence, educational effectiveness, and implementation. Methods: PubMe...
Efficient lipid design under limited experimental budgets is a central challenge in computational chemistry and drug discovery. We introduce LEAF (Lipid Evolutionary Adaptive Framework), a matched-budget protocol for testing whether language-model proposers improve combinatorial molecular search relative to classical b...
Large language models (LLMs) are increasingly embedded in research software, yet many integrations preserve only the visible prompt and answer while losing structured evidence about configuration, provider metadata, timing, failures, and the exact request procedure. MiND is an open-source, provider-neutral middleware t...
Abstract Recent advances in generative AI, especially powerful Large Language Models (LLMs), raise concerns over the interpretability, safety and sustainability of these large and opaque AI models. The power of such architectures is derived not only from the scalability of deep neural networks (DNNs), but also massivel...
In this Editorial, network governance is understood as a broad umbrella concept rather than a single institutional model. It refers to arrangements in which interdependent actors coordinate across organizational and sectoral boundaries through negotiation, trust, and shared rules, rather than through hierarchy or marke...
Lower family socioeconomic status (SES) is widely linked to poorer child development, but the magnitude of the association varies across outcomes and samples. To synthesise correlational evidence on SES and externalizing/antisocial behaviour, internalizing/depressive symptoms, and language/literacy in children and adol...
" This dataset presents experimental measurements for comparing on-device and edge-assisted text summarization using a small language model (SLM) on an Android device. The Android application is developed in Kotlin, with local inference performed using the MediaPipe LLM Inference runtime and edge inference supported by...
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A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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