RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains
Fuente:
arXiv
Guardado en:
| Autores principales: | Nasrat, Shady, Kim, Myungsu, Lee, Seonil, Lee, Jiho, Jang, Yeoncheol, Yi, Seung-joon |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
por: Jeon, Hyesung, et al.
Publicado: (2024)
por: Jeon, Hyesung, et al.
Publicado: (2024)
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
por: Lee, Dongjun, et al.
Publicado: (2025)
por: Lee, Dongjun, et al.
Publicado: (2025)
FineScope : SAE-guided Data Selection Enables Domain Specific LLM Pruning and Finetuning
por: Bhattacharyya, Chaitali, et al.
Publicado: (2025)
por: Bhattacharyya, Chaitali, et al.
Publicado: (2025)
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
por: Ha, Seokhyeon, et al.
Publicado: (2023)
por: Ha, Seokhyeon, et al.
Publicado: (2023)
3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
por: Lee, Seonho, et al.
Publicado: (2025)
por: Lee, Seonho, et al.
Publicado: (2025)
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
por: Park, Juneyoung, et al.
Publicado: (2026)
por: Park, Juneyoung, et al.
Publicado: (2026)
On-Device Robotic Planning: Eliminating Inference Redundancy for Efficient Decision-Making
por: Lee, Joonhee, et al.
Publicado: (2026)
por: Lee, Joonhee, et al.
Publicado: (2026)
Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning
por: Seung, Hyunseok, et al.
Publicado: (2025)
por: Seung, Hyunseok, et al.
Publicado: (2025)
LCSB: Layer-Cyclic Selective Backpropagation for Memory-Efficient On-Device LLM Fine-Tuning
por: Park, Juneyoung, et al.
Publicado: (2026)
por: Park, Juneyoung, et al.
Publicado: (2026)
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
por: Jang, Chaeyun, et al.
Publicado: (2024)
por: Jang, Chaeyun, et al.
Publicado: (2024)
Role of Thyroid Profile in Knee Osteoarthritis
por: Dr. Huma Nasrat
Publicado: (2025)
por: Dr. Huma Nasrat
Publicado: (2025)
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning
por: Xia, Yuchen, et al.
Publicado: (2024)
por: Xia, Yuchen, et al.
Publicado: (2024)
How Much Heavy Lifting Can an Agent Harness Do?: Measuring the LLM's Residual Role in a Planning Agent
por: Jung, Sungwoo, et al.
Publicado: (2026)
por: Jung, Sungwoo, et al.
Publicado: (2026)
Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
por: Alt, Benjamin, et al.
Publicado: (2023)
por: Alt, Benjamin, et al.
Publicado: (2023)
Enhancing Dialogue Speech Recognition with Robust Contextual Awareness via Noise Representation Learning
por: Lee, Wonjun, et al.
Publicado: (2024)
por: Lee, Wonjun, et al.
Publicado: (2024)
Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
por: Yang, Qimin, et al.
Publicado: (2024)
por: Yang, Qimin, et al.
Publicado: (2024)
Reliable Decision Making via Calibration Oriented Retrieval Augmented Generation
por: Jang, Chaeyun, et al.
Publicado: (2024)
por: Jang, Chaeyun, et al.
Publicado: (2024)
CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
por: Kim, Tae Soo, et al.
Publicado: (2025)
por: Kim, Tae Soo, et al.
Publicado: (2025)
A low-cost and lightweight 6 DoF bimanual arm for dynamic and contact-rich manipulation
por: Kim, Jaehyung, et al.
Publicado: (2025)
por: Kim, Jaehyung, et al.
Publicado: (2025)
ARGORA: Orchestrated Argumentation for Causally Grounded LLM Reasoning and Decision Making
por: Jin, Youngjin, et al.
Publicado: (2026)
por: Jin, Youngjin, et al.
Publicado: (2026)
PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning
por: Yang, Xingke, et al.
Publicado: (2025)
por: Yang, Xingke, et al.
Publicado: (2025)
Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device
por: Lee, Juntae, et al.
Publicado: (2025)
por: Lee, Juntae, et al.
Publicado: (2025)
LLMs for Enhanced Agricultural Meteorological Recommendations
por: Park, Ji-jun, et al.
Publicado: (2024)
por: Park, Ji-jun, et al.
Publicado: (2024)
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
por: Suh, Jiwon, et al.
Publicado: (2024)
por: Suh, Jiwon, et al.
Publicado: (2024)
Contextuality Derived from Minimal Decision Dynamics: Quantum Tug-of-War Decision Making
por: Kim, Song-Ju
Publicado: (2026)
por: Kim, Song-Ju
Publicado: (2026)
Domain-Aware Fine-Tuning of Foundation Models
por: Kaplan, Ugur Ali, et al.
Publicado: (2024)
por: Kaplan, Ugur Ali, et al.
Publicado: (2024)
SAFE ma-QAOA: Surrogate-Assisted and Fine-Tuning Enhanced Multi-Angle QAOA with Parameter Distillation
por: Kim, Hyunwoo, et al.
Publicado: (2026)
por: Kim, Hyunwoo, et al.
Publicado: (2026)
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation
por: Choi, Jiho, et al.
Publicado: (2025)
por: Choi, Jiho, et al.
Publicado: (2025)
Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance
por: Choi, Soo-joon, et al.
Publicado: (2025)
por: Choi, Soo-joon, et al.
Publicado: (2025)
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making
por: Amujo, Oluyemi Enoch, et al.
Publicado: (2024)
por: Amujo, Oluyemi Enoch, et al.
Publicado: (2024)
AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
por: Lee, Chanhyuk, et al.
Publicado: (2025)
por: Lee, Chanhyuk, et al.
Publicado: (2025)
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation
por: Thillainathan, Sarubi, et al.
Publicado: (2025)
por: Thillainathan, Sarubi, et al.
Publicado: (2025)
Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
por: Wang, Jun, et al.
Publicado: (2025)
por: Wang, Jun, et al.
Publicado: (2025)
Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM Adaptation
por: Tenison, Irene, et al.
Publicado: (2026)
por: Tenison, Irene, et al.
Publicado: (2026)
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study
por: Nguyen, Zooey, et al.
Publicado: (2024)
por: Nguyen, Zooey, et al.
Publicado: (2024)
LoRA-Edge: Tensor-Train-Assisted LoRA for Practical CNN Fine-Tuning on Edge Devices
por: Kwak, Hyunseok, et al.
Publicado: (2025)
por: Kwak, Hyunseok, et al.
Publicado: (2025)
FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation
por: Oh, Juhyun, et al.
Publicado: (2026)
por: Oh, Juhyun, et al.
Publicado: (2026)
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
por: Khaki, Samir, et al.
Publicado: (2025)
por: Khaki, Samir, et al.
Publicado: (2025)
Automated Domain Question Mapping (DQM) with Educational Learning Materials
por: Noh, Jiho, et al.
Publicado: (2026)
por: Noh, Jiho, et al.
Publicado: (2026)
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
por: Lee, Changhun, et al.
Publicado: (2023)
por: Lee, Changhun, et al.
Publicado: (2023)
Ejemplares similares
-
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
por: Jeon, Hyesung, et al.
Publicado: (2024) -
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
por: Lee, Dongjun, et al.
Publicado: (2025) -
FineScope : SAE-guided Data Selection Enables Domain Specific LLM Pruning and Finetuning
por: Bhattacharyya, Chaitali, et al.
Publicado: (2025) -
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
por: Ha, Seokhyeon, et al.
Publicado: (2023) -
3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
por: Lee, Seonho, et al.
Publicado: (2025)