:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Pitale, Mandar, Abbaspour, Alireza, Upadhyay, Devesh
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2402.08208
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study
por: Pitale, Mandar, et al.
Publicado: (2025)

Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance
por: Abbaspour, Alireza, et al.
Publicado: (2025)

GenAI for Automotive Software Development: From Requirements to Wheels
por: Petrovic, Nenad, et al.
Publicado: (2025)

Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems
por: Kirchner, Sven, et al.
Publicado: (2025)

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code
por: Petrovic, Nenad, et al.
Publicado: (2025)

Counterfactual Self-Questioning for Stable Policy Optimization in Language Models
por: Parab, Mandar
Publicado: (2025)

Diffusion-based Surrogate Model for Time-varying Underwater Acoustic Channels
por: Li, Kexin, et al.
Publicado: (2025)

AB-UPT for Automotive and Aerospace Applications
por: Alkin, Benedikt, et al.
Publicado: (2025)

Evidence-Driven Decision Support for AI Model Selection in Research Software Engineering
por: Joonbakhsh, Alireza, et al.
Publicado: (2025)

LLM-Empowered Functional Safety and Security by Design in Automotive Systems
por: Petrovic, Nenad, et al.
Publicado: (2026)

Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software
por: Patil, Minal Suresh, et al.
Publicado: (2024)

A Hybrid DeBERTa and Gated Broad Learning System for Cyberbullying Detection in English Text
por: Kumar, Devesh
Publicado: (2025)

Efficient Learning for Product Attributes with Compact Multimodal Models
por: Kulkarni, Mandar
Publicado: (2025)

Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines
por: Saraogi, Devesh, et al.
Publicado: (2025)

Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
por: Xu, Zhen, et al.
Publicado: (2025)

Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches
por: Mazur, Lukasz, et al.
Publicado: (2025)

SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
por: Parashar, Anjali, et al.
Publicado: (2026)

Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software
por: Hanson, David
Publicado: (2025)

Decision-based AI Visual Navigation for Cardiac Ultrasounds
por: Dimnaku, Andy, et al.
Publicado: (2025)

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study
por: Wang, Shuai, et al.
Publicado: (2025)

LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study
por: Wang, Shuai, et al.
Publicado: (2026)

Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study
por: Petrovic, Nenad, et al.
Publicado: (2025)

GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making
por: Khoee, Arsham Gholamzadeh, et al.
Publicado: (2024)

The Elephant in the Room -- Why AI Safety Demands Diverse Teams
por: Rostcheck, David, et al.
Publicado: (2024)

LLM-based Iterative Approach to Metamodeling in Automotive
por: Petrovic, Nenad, et al.
Publicado: (2025)

Redundant or Necessary? A Benchmark for Detecting Redundant Steps in Agent Trajectories
por: Hu, Minyang, et al.
Publicado: (2026)

Automotive Engineering-Centric Agentic AI Workflow Framework
por: Son, Tong Duy, et al.
Publicado: (2026)

Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
por: Chakraborty, Attrayee, et al.
Publicado: (2024)

Use of Metric Learning for the Recognition of Handwritten Digits, and its Application to Increase the Outreach of Voice-based Communication Platforms
por: Pant, Devesh, et al.
Publicado: (2025)

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety
por: Rios-Sialer, Ian
Publicado: (2026)

Targeted collapse regularized autoencoder for anomaly detection: black hole at the center
por: Ghafourian, Amin, et al.
Publicado: (2023)

Inspired by AI? A Novel Generative AI System To Assist Conceptual Automotive Design
por: Wang, Ye, et al.
Publicado: (2024)

Transformer Is Inherently a Causal Learner
por: Wang, Xinyue, et al.
Publicado: (2026)

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach
por: Motiyani, Isha, et al.
Publicado: (2026)

Position: Require Frontier AI Labs To Release Small "Analog" Models
por: Upadhyay, Shriyash, et al.
Publicado: (2025)

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics
por: Khoee, Arsham Gholamzadeh, et al.
Publicado: (2025)

Enhancing Autonomous Driving Safety Analysis with Generative AI: A Comparative Study on Automated Hazard and Risk Assessment
por: Abbaspour, Alireza, et al.
Publicado: (2024)

Not All Memories Age the Same: Autodiscovery of Adaptive Decay in Knowledge Graphs
por: Karhade, Mandar
Publicado: (2026)

Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications
por: David, Isaac, et al.
Publicado: (2026)

LLM is Not All You Need: A Systematic Evaluation of ML vs. Foundation Models for text and image based Medical Classification
por: Raval, Meet, et al.
Publicado: (2026)