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3,243 papers
This record contains the human annotation study underpinning the MSc thesis"Exploring Semantic Consistency in Image Super-Resolution" (Master in ComputerVision, Universitat Autònoma de Barcelona / Computer Vision Center). Super-resolution is normally evaluated on fidelity and perceptual quality — howclose an output is...
Here we present four companion documents for the program corpus listed below. The Taxonomy of Claims lists the theory's claims and assigns each one a status. The claims are grouped in four tiers: Framework (the laws and constants, which the theory does not derive), Derived from Framework (quantities computed from the f...
Preprint notice: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Deploying a language model on an embedded accelerator can fix its architecture, vocabulary and weight footprint before accuracy is consid...
Preprint notice: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Deploying a language model on an embedded accelerator can fix its architecture, vocabulary and weight footprint before accuracy is consid...
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Reasoning traces of large language models are widely read as containing "breakthrough" moments and early-legible fates. Both readings rest on measurements missing a counterfactual control at the level of the claim; we supply both controls. First, a restart-controlled truncation probe separates when a solution fits the...
A small-language-model architecture for AI-driven detection, prediction and safe defence of operational technology. Operational technology (OT) and industrial control systems (ICS) increasingly connect information technology, industrial networks, programmable logic controllers (PLCs), SCADA, distributed control systems...
Preprint. Not yet peer-reviewed. Abstract: Frozen autoregressive language models cluster surface-similar tokens together even when a stronger, task-relevant structure is available in the input. We construct an adversarial lexicon (LUXVAR Core-30) in which word meaning is defined by orbit membership under the finite alg...
Reasoning traces of large language models are widely read as containing "breakthrough" moments and early-legible fates. Both readings rest on measurements missing a counterfactual control at the level of the claim; we supply both controls. First, a restart-controlled truncation probe separates when a solution fits the...
Self_agent is a locally-run, tick-based autonomous process built on small open-weight language models (via Groq) that maintains its own goal queue, reflects on its own behavior, executes work through short-lived stateless task nodes, and — under a sandboxed, test-gated pipeline — proposes and applies changes to its own...
HIPPOGRID — evidence pack for the preliminary results (2026) Raw result files and figures behind the preliminary results cited in the MSCA-PF proposal HIPPOGRID (SEP-211387371, call HORIZON-MSCA-2026-PF-01). Researcher: Álvaro González-Redondo (University of Granada). Each bundle below backs one claim of the proposal;...
Long-context "context rot" (accuracy degradation as input length grows, even when task difficulty is held fixed) is localized here to a specific, causal mechanism inside a small Mixture-of-Experts language model (OLMoE-1B-7B-0924), then tested for generality across two further architectures. Forced-choice retrieval acc...
Overall, the findings suggest that LLMs can function as effective supplementary raters in test development and validation processes, although greater caution is warranted for certain rating tasks.
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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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