Cover Image

AGENT: An Aerial Vehicle Generation and Design Tool Using Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Samplawski, Colin, Cobb, Adam D., Jha, Susmit
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
by: Samplawski, Colin, et al.
Published: (2025)

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
by: Cobb, Adam D., et al.
Published: (2025)

Privacy Preserving In-Context-Learning Framework for Large Language Models
by: Bhusal, Bishnu, et al.
Published: (2025)

Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design
by: Ghiglino, Aurelien, et al.
Published: (2026)

Analyzing Memorization in Large Language Models through the Lens of Model Attribution
by: Menta, Tarun Ram, et al.
Published: (2025)

Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs
by: Agarwal, Krishiv, et al.
Published: (2026)

Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
by: Kaur, Ramneet, et al.
Published: (2024)

Spatio-Temporal Pruning for Compressed Spiking Large Language Models
by: Jiang, Yi, et al.
Published: (2025)

LUMOS: Large User MOdels for User Behavior Prediction
by: Nigam, Dhruv, et al.
Published: (2025)

ReLU's Revival: On the Entropic Overload in Normalization-Free Large Language Models
by: Jha, Nandan Kumar, et al.
Published: (2024)

Second-Order Forward-Mode Automatic Differentiation for Optimization
by: Cobb, Adam D., et al.
Published: (2024)

Provable Benefits of In-Tool Learning for Large Language Models
by: Houliston, Sam, et al.
Published: (2025)

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2025)

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
by: Padhi, Trilok, et al.
Published: (2025)

Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
by: Hu, Boyue Caroline, et al.
Published: (2025)

Large Language Models as Tool Makers
by: Cai, Tianle, et al.
Published: (2023)

MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation
by: Abbineni, Pravallika, et al.
Published: (2025)

OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
by: Zhang, Jianzhang, et al.
Published: (2025)

CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
by: Wu, Duo, et al.
Published: (2024)

Handloom Design Generation Using Generative Networks
by: Bhattacharjee, Rajat Kanti, et al.
Published: (2025)

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models
by: Sidorenko, Andrey
Published: (2025)

Using Large Language Models for Hyperparameter Optimization
by: Zhang, Michael R., et al.
Published: (2023)

Calibrating Large Language Models Using Their Generations Only
by: Ulmer, Dennis, et al.
Published: (2024)

A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models
by: Morgan, Adam M., et al.
Published: (2025)

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
by: Zeinalipour, Kamyar, et al.
Published: (2024)

Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
by: Gupta, Ayush, et al.
Published: (2025)

Aligning Agents like Large Language Models
by: Jelley, Adam, et al.
Published: (2024)

Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
by: Liu, Hanbing, et al.
Published: (2026)

Fine-tuning Large Language Model for Automated Algorithm Design
by: Liu, Fei, et al.
Published: (2025)

MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
by: Wang, Xiaohan, et al.
Published: (2024)

Investigating the Potential of Using Large Language Models for Scheduling
by: Jobson, Deddy, et al.
Published: (2024)

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation
by: Zhang, Xin, et al.
Published: (2025)

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents
by: Padhi, Trilok, et al.
Published: (2026)

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
by: Tian, Hanlin, et al.
Published: (2024)

Throughput Optimization as a Strategic Lever in Large-Scale AI Systems: Evidence from Dataloader and Memory Profiling Innovations
by: Jha, Mayank
Published: (2026)

A Performance Evaluation of a Quantized Large Language Model on Various Smartphones
by: Çöplü, Tolga, et al.
Published: (2023)

A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model
by: Li, Jinhao, et al.
Published: (2026)

Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
by: Lee, Younghwan, et al.
Published: (2025)

On Sequential Bayesian Inference for Continual Learning
by: Kessler, Samuel, et al.
Published: (2023)

Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)