(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. A 2026 study reports that sentiment classifiers score higher on reviews rewritten by small language models than on the human originals, by up to 5.8 accuracy points, and reads the gain as stylistic alignment: the rewrite strips idiosyncrasy and hands the classifier...
Pranay M. Mahendrakar· Zenodo (CERN European Organi...· 0 citations
Motivation Peptide toxicity remains a major bottleneck in drug development, as small sequence variations can drastically alter cytotoxic profiles. Experimental assessment is costly and time-consuming, motivating computational predictors. Existing approaches often rely on single black-box architectures, limiting interpr...
Gustavo O. Almeida, Matheus C. Albuquerque, Bruno M. Silva et al.· bioRxiv· 0 citations
Grasping the latest knowledge in any field has become increasingly challenging given the rapid pace of modern publishing. Recent advances in artificial intelligence (AI), particularly embedding models and large language models (LLMs), provide promising tools to aid researchers in the filtration and identification of th...
Philip Mitchell, Baptiste Andrieu, Mehrnoosh Heydari et al.· Figshare· 0 citations
This study examines the development of research on Corporate Social Responsibility (CSR), corporate sustainability, and Environmental, Social, and Governance (ESG) within the context of small and medium-sized enterprises (SMEs). It analyzes 3,168 English-language research articles published from 1959 to 2025, sourced f...
Kanat Suleimen, Gulzhanat Tayauova, Yelda Inanc et al.· Figshare· 0 citations
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Objective This study used the unified text-based grading results of senior sonographers as the primary reference (this text benchmark is not pathological diagnostic gold standard) to evaluate the concordance of text-derived C-TIRADS grades assigned by six large language models (LLMs), with and without FastGPT Retrieval...
Qian Qu, Hanwen Bi, Xiaofei Yu et al.· Frontiers in Endocrinology· 0 citations
Reproducibility package for the paper 'The Economics of Orchestration'. Organizations deploying large language models face a budget choice: pay for a frontier model, or orchestrate cheaper models into a multi-step pipeline. Across three pre-registered studies (a 2x2x2 factorial over five LLM families and 19 business pr...
Youssef Hariri· Zenodo (CERN European Organi...· 0 citations
Abstract Accurate estimation of cancer risk from longitudinal electronic health records (EHRs) could support earlier detection and improved care, but modeling such complex patient trajectories remains challenging. We present TrajOnco, a training-free, multi-agent large language model (LLM) framework designed for scalab...
Sihang Zeng, Young Won Kim, Wilson Lau et al.· npj Digital Medicine· 0 citations
People increasingly ask large language models (LLMs) for advice on relationship, family and management decisions, usually in a single sentence, while the dimensions that decide such questions (context, history, the people affected, religion and values, consequences) are known only to the user. We ask how far a model st...
Ahmed Abdelalim· Zenodo (CERN European Organi...· 0 citations
In this work, we design knowledge compilation languages for quantified Boolean formulas (QBFs), with a particular focus on model counting. We introduce various languages in increasing order of their power of representation, starting from a simple tree-based structure, and extending it to DAGs for a more efficient repre...
Enzyme function annotation is critical for decoding biological systems and enabling rational enzyme design. However, experimentally characterized enzyme functions remain available for only a small fraction of known protein sequences, resulting in a widening gap between rapidly expanding sequence space and reliable func...
Le Yuan, Jianan Canal Li, Miao-Yuan Wen et al.· Nucleic Acids Research· 0 citations
Detailed captions transfer visual information into vision-language model supervision, but quality is easily conflated with length: long single-pass outputs still miss small objects, text, and spatial relations or promote uncertain observations into confident claims. We formulate fine-grained captioning as recoverable v...
Hao Shi, Jia-Feng Wang, Yu-Zhuo Fu et al.· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
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.
