Results 61 to 70 of about 15,745,009 (280)

ChemMLLM: Chemical Multimodal Large Language Model

CoRR
Multimodal large language models (MLLMs) have made impressive progress in many applications in recent years. However, chemical MLLMs that can handle cross-modal understanding and generation remain underexplored. To fill this gap, we propose ChemMLLM, a unified chemical multimodal large language model for molecule understanding and generation.
Qian Tan, Dongzhan Zhou, Peng Xia, Wanhao Liu, Wanli Ouyang, Lei Bai 0001, Yuqiang Li, Tianfan Fu   +7 more
openaire   +3 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Ce‐LLMs: Status and trends of education‐specific large language models developed in China

Future in Educational Research
The prevalence of AI hallucination in general‐purpose large language models (LLMs) poses significant pedagogical challenges, particularly in terms of content credibility and reliability.
Tao Xie, Yingli Zhou, Jiazhen Yu
doaj   +1 more source

Research Survey on Emotion Recognition Large Language Models [PDF]

Jisuanji kexue yu tansuo
The rapid development of large language models offers a new paradigm for emotion recognition, demonstrating significant advantages over conventional methods in complex scenario understanding, zero/few-shot generalization, and multimodal collaborative ...
WU Ao, WANG Hailong, LIU Lin, SHI Wentao
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Evaluating large language models on multimodal chemistry olympiad exams

Communications Chemistry
Multimodal scientific reasoning remains a significant challenge for large language models (LLMs), particularly in chemistry, where problem-solving relies on symbolic diagrams, molecular structures, and structured visual data.
Yiming Cui, Xin Yao, Yuxuan Qin, Xin Li, Shijin Wang, Guoping Hu   +5 more
doaj   +1 more source

Enhancing Multimodal Recommender System Performance Using Large Language Models

IEEE Access
With the rapid advancement of e-commerce platforms and the overwhelming amount of information available online, recommender systems have emerged as essential tools for helping users efficiently discover items aligned with their preferences.
Soohyun Woo, Seonu Park, Xinzhe Li, Seongkook Lee, Jaekyeong Kim   +4 more
doaj   +1 more source

Multimodal Large Language Models as Image Classifiers

CoRR
Multimodal Large Language Models (MLLM) classification performance depends critically on evaluation protocol and ground truth quality. Studies comparing MLLMs with supervised and vision-language models report conflicting conclusions, and we show these conflicts stem from protocols that either inflate or underestimate performance. Across the most common
Nikita Kisel, Illia Volkov, Klára Janousková, Jiri Matas   +3 more
openaire   +2 more sources

Bacterial Cellulose‐Based Bilayer Passive Cooler for High‐Performance Radiative/Evaporative Cooling

Advanced Functional Materials, EarlyView.
A sustainable bilayer passive cooler based on bacterial cellulose integrates radiative and evaporative cooling for efficient zero‐energy temperature reduction. The scalable, low‐carbon material shows strong potential for food preservation, low‐temperature storage, and cold‐chain logistics.
Yibing Zhang, Da‐Wen Sun, Liang Xu, You Tian, Libin Sun, Rui Hu, Shiwei Zheng   +6 more
wiley   +1 more source

Foundation models in medical imaging: A review

EngMedicine
Foundation models (FMs), which are large-scale architectures pretrained on diverse datasets, are rapidly reshaping artificial intelligence (AI).
Qianqian Chen, Anglin Liu, Jingyang Zhang, Chunfeng Yang, Yudong Zhang   +4 more
doaj   +1 more source