Results 71 to 80 of about 55,072 (308)
Editorial Introduction to Issue 40 of CSIMQ: Managing Different Forms of Complexity
The systems considered in the presented research can be characterized as dynamically complex open systems, which means that “the system’s coherence lies not only within the system itself but also in its relationship with the environment”.
Małgorzata Pańkowska, Erika Nazaruka
doaj +1 more source
AUDITING OPEN-SOURCE LLMs FOR ACADEMIC AUTHOR SEARCH [PDF]
openThis Master’s thesis explores the effectiveness of state-of-the-art Large Language Mod- els (LLMs) in searching for scholars across various fields of physics.
BAROLO, DANIELE
core
Embracing LLMs for Point-of-Interest Recommendations
A point-of-interest (POI) recommendation becomes the core function of location-based services. Unlike a traditional item recommendation, a POI recommendation has distinct features, such as geographical influences, complex mobility patterns, and a balance
Wang, Can, Wang, Tianxing
core +1 more source
Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs
Recent advancements in multimodal large language models (MLLMs) have achieved significant multimodal generation capabilities, akin to GPT-4. These models predominantly map visual information into language representation space, leveraging the vast ...
Li, Yunxin +4 more
core
This study addresses the rapid renal clearance of anti‐HER2 nanobodies by developing specialized liposomal carriers. It details the formulation of dual modified liposomes, demonstrating how PEGylation preserves structural integrity and cell‐penetrating peptides enhance cellular interaction.
Giulia Pander +14 more
wiley +1 more source
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang +15 more
wiley +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 ...
Dušek, Ondřej
openaire +2 more sources
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
Simulated Selfhood in LLMs: A Behavioral Analysis of Introspective Coherence
Large Language Models (LLMs) increasingly generate outputs that resemble introspection, including self-reference, epistemic modulation, and claims about their internal states.
Jose Augusto de Lima Prestes
core +1 more source
Aim: Accurate diagnosis in emergency departments relies heavily on clinical decision-making, yet cognitive errors contribute to a significant proportion of diagnostic mistakes.
Banu Arslan +4 more
doaj +1 more source

