Copertina

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Jiaqi, Wu, Zihao, Li, Yiwei, Jiang, Hanqi, Shu, Peng, Shi, Enze, Hu, Huawen, Ma, Chong, Liu, Yiheng, Wang, Xuhui, Yao, Yincheng, Liu, Xuan, Zhao, Huaqin, Liu, Zhengliang, Dai, Haixing, Zhao, Lin, Ge, Bao, Li, Xiang, Liu, Tianming, Zhang, Shu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Survey of HPC in US Research Institutions
di: Shu, Peng, et al.
Pubblicazione: (2025)

Structured Diversity Control: A Dual-Level Framework for Group-Aware Multi-Agent Coordination
di: Yang, Shuocun, et al.
Pubblicazione: (2025)

ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping
di: Li, Yiwei, et al.
Pubblicazione: (2024)

QueEn: A Large Language Model for Quechua-English Translation
di: Chen, Junhao, et al.
Pubblicazione: (2024)

LLMs for Coding and Robotics Education
di: Shu, Peng, et al.
Pubblicazione: (2024)

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis
di: Pan, Yi, et al.
Pubblicazione: (2024)

MoMoE: A Mixture of Expert Agent Model for Financial Sentiment Analysis
di: Shu, Peng, et al.
Pubblicazione: (2025)

OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion
di: Jiang, Hanqi, et al.
Pubblicazione: (2024)

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
di: Zhong, Tianyang, et al.
Pubblicazione: (2024)

Revolutionizing Finance with LLMs: An Overview of Applications and Insights
di: Zhao, Huaqin, et al.
Pubblicazione: (2024)

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis
di: Xu, Shaochen, et al.
Pubblicazione: (2024)

SAMAug: Point Prompt Augmentation for Segment Anything Model
di: Dai, Haixing, et al.
Pubblicazione: (2023)

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation
di: Shu, Peng, et al.
Pubblicazione: (2024)

Bridging Classical and Quantum Computing for Next-Generation Language Models
di: Pan, Yi, et al.
Pubblicazione: (2025)

HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning
di: Hu, Huawen, et al.
Pubblicazione: (2024)

Prompt Engineering for Healthcare: Methodologies and Applications
di: Wang, Jiaqi, et al.
Pubblicazione: (2023)

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery
di: Yang, Zhenyuan, et al.
Pubblicazione: (2024)

CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification
di: Chen, Junhao, et al.
Pubblicazione: (2025)

A World Model of Radiologist Reading for Medical Image Representation Learning
di: Li, Yiwei, et al.
Pubblicazione: (2026)

Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs
di: Li, Yiwei, et al.
Pubblicazione: (2026)

LLM-POTUS Score: A Framework of Analyzing Presidential Debates with Large Language Models
di: Liu, Zhengliang, et al.
Pubblicazione: (2024)

MGH Radiology Llama: A Llama 3 70B Model for Radiology
di: Shi, Yucheng, et al.
Pubblicazione: (2024)

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks
di: Wang, Jiaqi, et al.
Pubblicazione: (2024)

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
di: Shi, Enze, et al.
Pubblicazione: (2024)

Large Language Models for Assisting American College Applications
di: Liu, Zhengliang, et al.
Pubblicazione: (2026)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI
di: Zhong, Tianyang, et al.
Pubblicazione: (2024)

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
di: Ma, Chong, et al.
Pubblicazione: (2024)

Artificial General Intelligence for Medical Imaging Analysis
di: Li, Xiang, et al.
Pubblicazione: (2023)

Radiology-GPT: A Large Language Model for Radiology
di: Liu, Zhengliang, et al.
Pubblicazione: (2023)

Foundation Models for Low-Resource Language Education (Vision Paper)
di: Ding, Zhaojun, et al.
Pubblicazione: (2024)

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
di: Liu, Zhengliang, et al.
Pubblicazione: (2023)

Large Language Models for Manufacturing
di: Li, Yiwei, et al.
Pubblicazione: (2024)

Differentiate ChatGPT-generated and Human-written Medical Texts
di: Liao, Wenxiong, et al.
Pubblicazione: (2023)

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding
di: Tian, Jie, et al.
Pubblicazione: (2024)

Legal Evalutions and Challenges of Large Language Models
di: Wang, Jiaqi, et al.
Pubblicazione: (2024)

Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models
di: Liu, Yiheng, et al.
Pubblicazione: (2025)

PharmacyGPT: The AI Pharmacist
di: Liu, Zhengliang, et al.
Pubblicazione: (2023)

The performances of the Chinese and U.S. Large Language Models on the Topic of Chinese Culture
di: Liu, Feiyan, et al.
Pubblicazione: (2026)

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios
di: Xu, Shaochen, et al.
Pubblicazione: (2024)

Mask-guided BERT for Few Shot Text Classification
di: Liao, Wenxiong, et al.
Pubblicazione: (2023)