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GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models
Journal article
Liao, Haicheng, Shen, Huanming, Li, Zhenning, Wang, Chengyue, Li, Guofa, Bie, Yiming, Xu, Chengzhong. GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models[J]. Communications in Transportation Research, 2024, 4, 100116.
Authors:
Liao, Haicheng
;
Shen, Huanming
;
Li, Zhenning
;
Wang, Chengyue
;
Li, Guofa
; et al.
Favorite
|
TC[WOS]:
8
TC[Scopus]:
12
IF:
12.5
/
12.5
|
Submit date:2024/03/05
Autonomous Driving
Cross-modal Attention
Human-machine Interaction
Large Language Models
Visual Grounding
Multi-Access Edge Computing Empowered Integrated Hybrid Sensing and Communication: A Computation-Efficient Design
Conference paper
Dou Chenglong, Huang Xumin, Wu Yuan, Qian Liping, Quek Tony Q.S.. Multi-Access Edge Computing Empowered Integrated Hybrid Sensing and Communication: A Computation-Efficient Design[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 471-476.
Authors:
Dou Chenglong
;
Huang Xumin
;
Wu Yuan
;
Qian Liping
;
Quek Tony Q.S.
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/07/20
Performance Evaluation
Wireless Communication
Wireless Sensor Networks
Multi-access Edge Computing
Array Signal Processing
Simulation
Large Language Models
Signal Processing Algorithms
Integrated Sensing And Communication
Optimization
Multi-access Edge Computing
Hybrid Active And Passive Sensing
SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models
Conference paper
Huang, Yuzhou, Xie, Liangbin, Wang, Xintao, Yuan, Ziyang, Cun, Xiaodong, Ge, Yixiao, Zhou, Jiantao, Dong, Chao, Huang, Rui, Zhang, Ruimao, Shan, Ying. SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models[C]:IEEE Computer Society, 2024, 8362-8371.
Authors:
Huang, Yuzhou
;
Xie, Liangbin
;
Wang, Xintao
;
Yuan, Ziyang
;
Cun, Xiaodong
; et al.
Favorite
|
TC[Scopus]:
1
|
Submit date:2024/11/05
Training
Visualization
Computer Vision
Large Language Models
Diffusion Models
Cognition
Pattern Recognition
Instruction-based Image Editing
Multimodal Large Language Models
Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks
Conference paper
Lai, Zhixin, Wu, Jing, Chen, Suiyao, Zhou, Yucheng, Hovakimyan, Naira. Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks[C]:IEEE Computer Society, 2024, 5086-5096.
Authors:
Lai, Zhixin
;
Wu, Jing
;
Chen, Suiyao
;
Zhou, Yucheng
;
Hovakimyan, Naira
Favorite
|
TC[Scopus]:
3
|
Submit date:2024/11/05
Visualization
Three-dimensional Displays
Large Language Models
Conferences
Fasteners
Transformers
Pattern Recognition
Llm
Biomedical Imaging
Beyond the Books: Exploring Factors Shaping Chinese English Learners’ Engagement with Large Language Models for Vocabulary Learning
Journal article
Wang, Xiaochen, Reynolds, Barry Lee. Beyond the Books: Exploring Factors Shaping Chinese English Learners’ Engagement with Large Language Models for Vocabulary Learning[J]. Education Sciences, 2024, 14(5), 496.
Authors:
Wang, Xiaochen
;
Reynolds, Barry Lee
Favorite
|
TC[WOS]:
34
TC[Scopus]:
40
IF:
2.5
/
2.6
|
Submit date:2024/06/05
Chinese Context
Large Language Models
Sdt
Utaut
Vocabulary Learning
Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study
Journal article
Mishra, Vishala, Sarraju, Ashish, Kalwani, Neil M., Dexter, Joseph P.. Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study[J]. Journal of Medical Internet Research, 2024, 26(1), e55388.
Authors:
Mishra, Vishala
;
Sarraju, Ashish
;
Kalwani, Neil M.
;
Dexter, Joseph P.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
5.8
/
6.7
|
Submit date:2024/05/16
Artificial Intelligence
Cardiology
Cardiovascular
Chatgpt
Digital Health
Education
Educational
Generative
Gpt
Health Communication
Health Communication
Health Literacy
Heart
Human-in-the-loop
Language Model
Language Models
Large Language Model
Machine Learning
Natural Language Processing
Nlp
Patient-physician Communication
Prevention
Prompt Engineering
“It Felt Like Having a Second Mind”: Investigating Human-AI Co-creativity in Prewriting with Large Language Models
Journal article
Wan, Qian, Hu, Siying, Zhang, Yu, Wang, Piaohong, Wen, Bo, Lu, Zhicong. “It Felt Like Having a Second Mind”: Investigating Human-AI Co-creativity in Prewriting with Large Language Models[J]. Proceedings of the ACM on Human-Computer Interaction, 2024, 8(CSCW1), 84.
Authors:
Wan, Qian
;
Hu, Siying
;
Zhang, Yu
;
Wang, Piaohong
;
Wen, Bo
; et al.
Adobe PDF
|
Favorite
|
TC[Scopus]:
3
|
Submit date:2024/06/05
Creative Writing
Creativity Support
Human-ai Collaboration
Large Language Models
Prewriting
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
Conference paper
Gu, Zihui, Sun, Xingwu, Lian, Fengzong, Kang, Zhanhui, Xu, Cheng Zhong, Fan, Ju. DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation[C], 2024, 18108-18116.
Authors:
Gu, Zihui
;
Sun, Xingwu
;
Lian, Fengzong
;
Kang, Zhanhui
;
Xu, Cheng Zhong
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/05/16
Nlp: Interpretability, Analysis, And Evaluation Of Nlp Models
Ml: Evaluation And Analysis
Nlp: (Large) Language Models
Nlp: Applications
COMMA: Co-articulated Multi-Modal Learning
Conference paper
Hu, Lianyu, Gao, Liqing, Liu, Zekang, Pun, Chi Man, Feng, Wei. COMMA: Co-articulated Multi-Modal Learning[C]:Association for the Advancement of Artificial Intelligence, 2024, 2238-2246.
Authors:
Hu, Lianyu
;
Gao, Liqing
;
Liu, Zekang
;
Pun, Chi Man
;
Feng, Wei
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/05/16
Cv: Language And Vision
Cv: Large Vision Models
Cv: Multi-modal Vision
Cv: Video Understanding & Activity Analysis
Assessing GPT-4 Generated Abstracts: Text Relevance and Detectors Based on Faithfulness, Expressiveness, and Elegance Principle
Conference paper
Li, Bixuan, Chen, Qifu, Lin, Jinlin, Li, Sai, Yen, Jerome. Assessing GPT-4 Generated Abstracts: Text Relevance and Detectors Based on Faithfulness, Expressiveness, and Elegance Principle[C]:Springer Science and Business Media Deutschland GmbH, 2024, 165-180.
Authors:
Li, Bixuan
;
Chen, Qifu
;
Lin, Jinlin
;
Li, Sai
;
Yen, Jerome
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/05/16
Abstract Generation
Artificial Intelligence
Chatbot
Gpt-4
Large Language Models