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2,764 papers
Whether an open-weight pipeline running entirely on one consumer graphics card can accurately extract clinical information from faxed referral packets is evaluated.
Findings suggest model scaledoes not fully determine performance within a fixed pipeline,supporting compact local models as a practical, low-cost, lowlatencyalternative for enterprise deployment.
Semantic scheduling is formulates as an uncertainty-aware framework that builds an admissible, quality-controlled scheduling instance from incomplete artifacts and optimizes it into feasible calendar-resource schedules.
Yemeni students in Saudi universities occupy an unusual position. They study abroad, yet in a country that shares their language, religion, and much of their culture, while their families remain in a state that has been at war since 2014. Depression and anxiety are common among international students generally, and rec...
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The Robot Motion Framework is introduced, which combines modular robot hardware with a model-based toolchain consisting of a model database, a graphical modeling environment, and a model interaction language and is used in teaching MBSE and DSM concepts to aerospace engineering students at the University of Stuttgart.
In an evaluation on two PREEvision Electric/Electronic-architecture models using automatically derived questions, it is found that text embedding models are capable of capturing the semantics of model elements, however, they often only find anchor points in the model and struggle to retrieve all relevant model elements...
Generating metamodel-conforming instance models is a recurring task in Model-Driven Engineering (MDE), yet it remains tedious and tool-bound: instances are serialized as verbose, deeply nested XMI that today’s large language models (LLMs) cannot reliably produce or edit. We present AMIGO, a general, harness-agnostic ar...
This work investigates whether relational specifications can ground SLM behaviour by mathematical proof rather than statistical regularities alone, and gives practitioners a route to deploy verifiable SLMs in safety-critical settings.
Together, these results suggest a practical division of labor: ALM rubrics are effective for broad perceptual qualities that are difficult to formalize, while specialized objective rewards remain preferable when reliable measurements are available.
Conformal Interval-Driven Self-Evolution (CISE) is proposed, which constructs candidate-specific reward intervals using conditional conformal inference and iteration-wise online density-ratio estimation and returns candidates only when all required property intervals lie entirely within their respective feasible region...
Video multimodal large language models (MLLMs) keep climbing video question answering benchmarks, yet shuffling the frames, masking the segment that supports the answer, or occluding the target object barely changes their predictions. The accuracy rests on appearance and language priors, not on the temporal evidence th...
🌟 Summary Version 8.4.173 adds native AMD Xilinx export for Versal AI Edge Series Gen 2 NPUs, opening a new path to deploy Ultralytics models on AMD edge hardware. 📊 Key Changes 🚀 New xilinx export format — Export models through AMD Quark to a quantized ONNX model and Vitis AI configuration. The format also accepts...
Earth AI
A Blog post by Ai2 on Hugging Face
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