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3,656 papers
Small language models can grade open-ended examination answers as reliably as substantially more expensive models when they grade against an explicit rubric. We test this claim as the design principle behind any-to-bench: a frontier model reads source documents once, at ingestion, to extract each question and its rubri...
This work mathematically formalizes how transformers execute abstract reasoning and provides a novel, strictly geometric signature for evaluating factual reliability, proving that deep LLM latent spaces natively organize into Small-World networks.
An augmented reality learning medium integrated with a deep-learning-oriented pedagogy for the Solar System topic supports the feasibility and educational promise of combining interactive AR visualization with cognitively engaging pedagogy.
BACKGROUND Personalized meal planning by registered dietitian nutritionists (RDNs) is time-intensive. Large language models (LLMs) may automate drafting meal plans, but their nutritional accuracy in clinical practice is uncertain. METHODS In this proof-of-concept study, five outpatient RDNs and four LLMs (Gemini, CoP...
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This paper presents FlashAttention-V, a blocked FlashAttention for scalable vector architectures that adapts efficiently from short to very long vectors by exploiting parallelism across attention heads, inter-head packing to enable efficient utilization of vector lengths beyond the head dimension, and improving vector...
This paper introduces *TranslatePsy-AfriSLM*, a collection of open-source MT resources for 19 Sub-Saharan African languages, including curated parallel data, African-specialized synthetic data, and a family of fine-tuned SLMs.
COSTA leverages the domain gap through proven test-time adaptation, and groups each batch of target-domain points into a small set of semantic clusters based on the similarity distribution in the adapted feature space, and propagates high-confidence pseudo labels obtained from an open-vocabulary vision-language model t...
The results suggest that bitsandbytes 4-bit quantization can impose an additional cost on applications relying on long, updatable, semantically dense contexts, even when aggregate benchmark accuracy appears largely unaffected.
Large Language Models show potential in their diagnostic accuracy and consequent ability to reduce clinician burden, and may provide the greatest benefit when used to optimise referral quality at source, improving both clinician and potentially LLM triage downstream.
The Institutional Newspapers Pipeline is presented, a modular system designed to extract high-quality, structured datasets from historical newspaper scans that was architected so that each step remains interpretable and customizable, and so that the pipeline as a whole remains computationally frugal enough to run on wo...
The designs produced by Mise-en-Sc\`ene are the closest to the ground truth in perceived quality among all compared methods, by a wide margin over both an LLM layout planner and a specialized layout transformer, while the match-and-place stage bridges the remaining fidelity gap to the ground-truth composites.
Small- and medium-sized enterprises (SMEs) increasingly need to reconfigure how they create, deliver, and capture value in response to digitalisation, sustainability demands, and environmental uncertainty. This study systematically reviews 162 English-language articles published in SSCI-indexed journals to integrate fr...
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