Results 221 to 230 of about 106,494 (293)
Attitudes Toward Large Language Models in Health Care and Preferences for Their Adoption and Oversight Among Health Care Professionals: Cross-Sectional Survey. [PDF]
Rao A +8 more
europepmc +1 more source
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley +1 more source
Benchmarking retrieval augmented generation LLMs for Arabic noise robustness. [PDF]
Almohaimeed S +5 more
europepmc +1 more source
Evaluating LLM Outputs with Humans and LLMs
How well do LLMs perform on text generation tasks, and how can we tell? We present approaches based on annotating individual errors, using human evaluators as well as LLMs. For humans, we introduce our efficient annotation framework and schema. For LLM-based evaluation, we show a metric using an ensemble of open-source LLMs, which includes a reasoning ...
openaire +1 more source
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han +3 more
wiley +1 more source
Accuracy, Self-Reported Confidence, and Overconfidence of Large Language Models in Endodontics: An Evaluation Using National Specialty Examination Questions. [PDF]
Adıgüzel M.
europepmc +1 more source
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley +1 more source
Abstract A constricted retrofibular fibro‐osseous tunnel is the cause of intrasheath peroneal tendon subluxation. If it is because of a combination of an abnormal convex or flat retrofibular groove and the presence of a space‐occupying low‐lying muscle belly, endoscopic groove deepening and resection of a low‐lying muscle is a reasonable surgical ...
Xiaohua Pan +6 more
wiley +1 more source
Large language models for analyzing contrast-enhanced ultrasound reports of pancreatic cystic lesions. [PDF]
Shao Y +12 more
europepmc +1 more source

