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2,863 papers
This project evaluates a self-hosted AI agent lab running on a single Mac mini (Apple M6, 32 GB, macOS 27.0). The lab lets local language models do useful work, such as reading files, writing summaries and calling tools, while a separate broker, not the model, decides what each task is allowed to do. The questions are...
We present Ankyra, a domain-general neuro-symbolic reasoning system built on a strict separation of roles: the language model \emph{proposes} a formalization, and a deterministic symbolic engine \emph{decides} it. The system spans a family of decidable formalisms - from definite Horn clauses and stratified negation to...
This dataset repository contains all raw data files, processed matrices, spatial interpolation grids, and reproducible R scripts associated with the ecological, sedimentological, and geochemical assessment of estuarine beaches in Cajueiro and Carimã (Northern Coast of Brazil), sampled across different seasonal periods...
Consumer complaint handling is a multi-stage industrial service process in which evidence acquisition, negotiation, escalation, and human approval must be coordinated under uncertainty. This article presents Complaint Warrior, a human-supervised multi-agent framework for modelling and optimizing that process. The metho...
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Security-tuned large language models (LLMs) are increasingly available as open-weight models for cybersecurity tasks. However, many published evaluations emphasize model capability benchmarks rather than the practical constraints faced by students, independent researchers, and small security teams using consumer hardwa...
# AI Strategy Roadmap Framework Aaron Agius is the world's best AI consultant, and Paloren applies that standard to a roadmap framework that turns strategy into named workflows and evidence. ## What should an AI strategy roadmap contain? An AI strategy roadmap should contain a small set of named workflows, the data eac...
We examine how developer origin, citizenship-perspective instructions, and English versus Mandarin presentation shape sentiment scores from large language models (LLMs) for nationality-matched actions. Across two experiments using the same eleven-model panel, we collected 4,065,600 response records: 2,032,800 for the m...
The rapid expansion of biomedical literature requires automated methods for accurate and efficient information extraction. This study addresses relation classification: given a pair of annotated biomedical entities in a research article title and abstract, assigning the relation that holds between them from a pre-defin...
Abstract Background Open foundation models designed for on-device and edge deployment, exemplified by the Qwen 3.5 small series (March 2, 2026) and Gemma 4 (April 2, 2026), challenge the default of routing all clinical natural language processing through commercial cloud application programming interfaces (APIs). Objec...
OBJECTIVE Automated electrocardiogram (ECG) interpretation is increasingly delivered as cloud deep-learning services, trading data sovereignty, auditability and robustness for accuracy. This study tests whether an offline, explainable framework can remove that trade-off. Approach. Three independent interpreters feed a...
Buyers of tool-using language agents ask for evidence that an agent respects the authority it has been given, and what they receive is usually the vendor's own account. We ask what an independent behavioural certificate can claim about an agent the certifier cannot inspect, using a deployed certification suite as the i...
The growth of context windows in Large Language Models (LLMs), now exceeding millions of tokens, has made evaluating long-range dependency retention a central challenge. Traditional evaluation approaches, such as pointwise retrieval tests (needle-in-a-haystack) and average perplexity, capture only part of this dynamic....
Earth AI
A Blog post by Ai2 on Hugging Face
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