Results 61 to 70 of about 60,614 (154)

BatGPT-Chem: A Foundation Large Model for Chemical Engineering

Research
Large language models (LLMs) have showcased remarkable capabilities in the realm of AI for Science, and chemistry has greatly benefited from the advancement of AI tools.
Yifei Yang, Runhan Shi, Zuchao Li, Shu Jiang, Bao-Liang Lu, Qibin Zhao, Yang Yang, Hai Zhao   +7 more
doaj   +1 more source

Understanding HTML with Large Language Models

, 2022
Large language models (LLMs) have shown exceptional performance on a variety of natural language tasks. Yet, their capabilities for HTML understanding -- i.e., parsing the raw HTML of a webpage, with applications to automation of web-based tasks ...
Chowdhery, Aakanksha, Faust, Aleksandra, Fiedel, Noah, Gur, Izzeddin, Huang, Austin, Miao, Yingjie, Nachum, Ofir, Narang, Sharan, Safdari, Mustafa   +8 more
core  

An Evaluation of LLMs and Google Translate for Translation of Selected Indian Languages via Sentiment and Semantic Analyses

IEEE Access
Large Language models (LLMs) have been prominent for language translation, including low-resource languages. There has been limited study on the assessment of the quality of translations generated by LLMs, including Gemini, GPT, and Google Translate ...
Rohitash Chandra, Aryan Chaudhari, Yeshwanth Rayavarapu   +2 more
doaj   +1 more source

Applying large language models for automated essay scoring for non-native Japanese

Humanities & Social Sciences Communications
Recent advancements in artificial intelligence (AI) have led to an increased use of large language models (LLMs) for language assessment tasks such as automated essay scoring (AES), automated listening tests, and automated oral proficiency assessments ...
Wenchao Li, Haitao Liu
doaj   +1 more source

Research Progress on the Application of Large Language Model-based Intelligent Medical Assistants

Xiehe Yixue Zazhi
Large language models (LLMs), represented by ChatGPT, have garnered significant attention due to their powerful capabilities in understanding and generating human language.
ZHANG Yuchen, WANG Chuantao, XIA Hailiang, ZHAI Jiliang   +3 more
doaj   +1 more source

Political-LLM: Large Language Models in Political Science

CoRR
In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and misinformation detection. Meanwhile, the need to systematically understand how LLMs can further revolutionize the field also becomes urgent.
Lincan Li, Jiaqi Li, Catherine Chen 0003, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun 0001, Lifang He 0001, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao 0001, Swabha Swayamdipta, Willie Neiswanger, Hua Wei 0001, Xiyang Hu, Shixiang Zhu, Tianlong Chen 0001, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang 0005, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao 0002, Emilio Ferrara, Yan Liu 0002, Furong Huang, Xiangliang Zhang 0001, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao 0016, Yushun Dong   +46 more
openaire   +2 more sources

Aligning large language models and geometric deep models for protein representation

Patterns
Summary: In this study, we explore the alignment of multimodal representations between large language models (LLMs) and geometric deep models (GDMs) in the protein domain. We comprehensively evaluate three LLMs with four protein-specialized GDMs.
Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du   +5 more
doaj   +1 more source

Principles of Large Language Models (LLM)

Journal of Numerical and Applied Mathematics
This paper explores the operational principles of large language models (LLMs), focusing in particular on the mechanism of next-token generation within the process of autoregressive modeling. It outlines the theoretical foundations of neural language models, the transformer architecture with its self-attention mechanism, and the roles of tokenization ...
openaire   +1 more source

Enhancing Knowledge Tracing with Large Language Models (LLMs)

In intelligent tutoring systems (ITS), knowledge tracing (KT) is a fundamental requirement for effective education and data mining. The main objective of KT is to model and predict the evolving understanding level of a student on different educational tasks.
Baig, Duaa, Nurbakova, Diana, Calabretto, Sylvie, Mbaye, Baba   +3 more
openaire   +2 more sources

Evalita-LLM: Benchmarking Large Language Models on Italian

CoRR
We describe Evalita-LLM, a new benchmark designed to evaluate Large Language Models (LLMs) on Italian tasks. The distinguishing and innovative features of Evalita-LLM are the following: (i) all tasks are native Italian, avoiding issues of translating from Italian and potential cultural biases; (ii) in addition to well established multiple-choice tasks,
Bernardo Magnini, Roberto Zanoli, Michele Resta, Martin Cimmino, Paolo Albano, Marco Madeddu, Viviana Patti   +6 more
openaire   +2 more sources