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2,479 papers
Abstract The Prize Papers collection includes a wealth of early modern logbooks in various languages, posing challenges for researchers when trying to obtain place and time information, e.g. to visualize shipping routes. Our approach is to use machine translation in order to enhance access to named entity recognition (...
Identifying advisor–advisee relationships from bibliographic metadata has largely relied on coauthorship network signals. This paper evaluates whether large language models (LLMs) can infer advising relationships from publication metadata alone and whether they can improve on a locally trained probabilistic ranking mod...
Abstract Predicting properties from coordinate–category data—sets of vectors paired with categorical information—is fundamental to computational science, manifesting in materials science as predicting formation energies or elastic moduli from crystal structures. While large language models (LLMs) have increasingly been...
With the continuous development of artificial intelligence (AI) technology, smart home systems have gradually evolved from traditional automated control modes toward intelligent systems with environmental perception, autonomous decision-making, and proactive service capabilities. However, existing smart homes still fac...
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Chinese text requires substantially more tokens than English in large language models (LLMs), increasing API costs and context-window consumption. Most prior work measures this premium using off-the-shelf tokenizers, but the underlying mechanism—where the additional tokens actually arise—remains poorly understood, part...
CONCEPTUAL EMERGENCE & GENERATIVE INTELLIGENCE AT THE LIMITLiving Concept Civilization — Flagship Research Monograph 06STARLI / White Rainbow Civilization · October 2026 ABSTRACT When do interactions among concepts, models, tools and people produce a genuinely new, independently verifiable capacity rather than a novel...
Large language models can now draft scenario-based test tasks on demand, which raises a validation question that has attracted little attention: does the difficulty of the generated tasks behave as the construct predicts? This study examined an AI-generated oral test of three business speech acts to establish whether t...
Grenade use in professional Counter-Strike follows community conventions written neither in the game's rules nor in its physics. We present an annotation schema for utility lineups, defined by an origin zone, a landing zone and a grenade type, and a de_dust2 lineup dataset built from 69,827 throws in 122 professional m...
Scripts, per-question tables, result tables of two runs (Qwen2.5-7B-Instruct and Qwen2.5-1.5B-Instruct on 1,800 short-answer questions from TruthfulQA, HaluEval and TriviaQA), the notebook code of the run, and the files that generate the numbers reported in the manuscript "The Information Limits of Consistency-Based Un...
Despite their importance for maintaining infrastructure integrity, manual culvert inspections pose significant operational challenges for agencies such as the Utah Department of Transportation (UDOT) due to high labor demands, subjective assessments, and variability in evaluation outcomes. This study investigates the a...
Global aquaculture faces an escalating disease and antimicrobial resistance (AMR) crisis, exacerbated by climate-driven physiochemical shifts and intensive farming practices. The integration of artificial intelligence (AI) and structural biology, spearheaded by AlphaFold, represents a paradigm shift in aquatic pharmaco...
SentiAgent is introduced, a collaborative Agentic LLM framework for context-aware and explainable sentiment analysis that combines contextual understanding, external commonsense knowledge, and autonomous reasoning to improve sentiment prediction and interpretability.
Generative AI
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by IBM Research on Hugging Face
A Blog post by IBM Research on Hugging Face
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