Domain-Specific Engineering Applications
Specialized applications of LLMs in specific engineering domains like autonomous driving, database systems, and hardware design
Domain-Specific Engineering Applications
Research on Large Language Models in Domain-Specific Engineering Applications
Enhancing Autonomous Vehicles with Language Intelligence
A novel framework for risk detection and driver assistance
AI-Powered Hardware Testing
Automating Test Stimuli Generation with Large Language Models
Robotic Dough Mastery: Beyond Demonstrations
Zero-shot deformable manipulation using hierarchical planning
Talking to Databases in Plain English
DBCopilot: Making Massive Database Querying Intuitive Through LLMs
AI-Powered Design to Code Conversion
Benchmarking Multimodal LLMs for Automated Front-End Development
Cost-Effective LLM at Scale
Optimizing Large Language Models for Data Analytics
AutoTRIZ: AI-Powered Engineering Innovation
Automating creative problem-solving with LLMs
Revolutionizing Database Performance
AI-Powered Knob Tuning Without Workload Replay
Solving Complex Planning Problems with LLMs
Combining AI with Formal Verification for Rigorous Planning
ChatGPT Learns Electromagnetic Physics
LLMs predicting metamaterial properties from simple text descriptions
Foundation Models Transform Collider Physics
Revolutionizing particle physics computation with AI
OmniDrive: 3D Vision-Language Reasoning for Autonomous Vehicles
Enhancing autonomous driving with counterfactual reasoning in 3D environments
LLMs Revolutionizing Transportation Forecasting
How AI is transforming mobility analysis and infrastructure planning
Automating Optimization with AI
Training Open-Source LLMs for Operations Research
Making Complex Systems Accessible with Language
Transforming system simulations through natural language interfaces
Enhancing FMEA with Knowledge-Augmented AI
Leveraging Knowledge Graphs to Improve LLM Reasoning for Engineering Analysis
Benchmarking LLMs for Hardware Verification
Evaluating AI-generated assertions for reliable hardware design
Revolutionizing Analog Circuit Design with AI
Combining LLMs with Bayesian Optimization for Enhanced Design Efficiency
Boosting Verilog Code Generation with LLMs
Overcoming training data limitations through code-structure-guided reinforcement learning
AI-Powered MOFs Synthesis Extraction
Leveraging Few-Shot LLMs for More Accurate Materials Design
Boosting Wireless Networks with AI
Using Large Language Models to Predict mmWave Beam Patterns
Revolutionizing 6G Communication with LLMs
A novel generative semantic framework for multi-user systems
LLMs Advancing Hardware Design
One year of progress in Verilog code generation capabilities
Smarter Urban Delivery Planning
Leveraging LLMs and Graph Learning for City-wide Demand Prediction
PatentGPT: Transforming Technical Innovation
Enhancing Large Language Models for Patent Concept Generation
Automating Ontology Development with AI
Using RAG-enhanced LLMs to generate competency questions
LLM-Powered Traffic Scene Generation
Creating diverse, realistic traffic scenarios from natural language
Enhancing LLMs for Hardware Design
Synthetic data generation for improved Verilog code modeling
Optimizing LLMs for Telecom QA
Question Masked Loss & Option Shuffling: A Domain-Specific Approach
LLMs in Materials Science: Promise vs. Performance
Evaluating AI robustness for engineering applications
Time-MoE: Scaling Up Time Series Forecasting
Leveraging Mixture-of-Experts for Billion-Scale Time Series Foundation Models
Mechanical Reasoning in AI
Testing Vision Language Models on Engineering Principles
Enhancing PDE Solvers with LLMs
Using natural language to improve engineering simulations
Smart Regulation for Self-Driving Cars
Using LLMs to create interpretable decision-making for autonomous vehicles
Hybrid LLM-DDQN based Joint Optimization of V2I Communicatio...
By Zijiang Yan, Hao Zhou...
Smarter Bus Systems with AI
Using Large Language Models to Enhance Transportation Control Strategies
LLMs as Sensor Processing Experts
Benchmarking AI capabilities for cyber-physical systems
AI-Powered Motion Control Programming
Making factory automation safer and more efficient through LLM-assisted code generation
LLMs: The New Frontier in Autonomous Driving
Leveraging language models for smarter, safer vehicles
Realistic Traffic Merging Benchmark
Evaluating autonomous driving performance in dense, interactive traffic scenarios
Proactive AR Assistance with Satori
Moving from reactive to predictive AR guidance through user mind modeling
Merging AI with 6G Networks
A Framework for Integrating Large AI Models in Future Telecommunications
Smart Circuit Design with AI
Teaching LLMs to Master Circuit Quality Estimation
Engineering Meets AI: Testing LMMs on Real-World Problems
First comprehensive benchmark for evaluating AI models on electrical engineering tasks
Teaching AI to Understand Hardware Design Metrics
First benchmark for LLM reasoning about Verilog code performance
AI Foundation Models for Material Design
Accelerating composite material engineering with transfer learning
Natural Language Search for Time-Series Data
Bridging the gap between text descriptions and signal patterns
Enhancing Text-to-SQL Conversion
Multi-Generator Ensemble Approach for Improved SQL Queries
Self-Improving Verilog Generation with LLMs
Automating hardware design through AI learning from EDA feedback
Enhancing E-Commerce Search with LLMs
A Multi-dimensional Distillation Approach for Better Relevance Learning
AI-Powered Circuit Design Automation
Leveraging LLMs to Generate Analog Circuit SPICE Netlists
Smarter Time Series Compression
Quantized symbolic representation with provable error bounds
Smarter Power Grids with AI Assistants
Enhancing LLMs for power system simulation through multi-agent feedback
Reimagining Traffic Simulation Models
Closing the loop in tokenized traffic agent simulations
Revolutionizing Transport Modeling with AI
LLM-Agents as Next-Generation Transportation Simulators
LLMs Revolutionizing Materials Science
Accelerating discovery through AI-powered knowledge extraction
AI Revolution in THz Ultra-Massive MIMO
From Model-Driven Learning to Foundation Models for Wireless Systems
AI as Your CAD Design Partner
Solving Complex CAD Tasks Through Vision-Language Models & Tool Augmentation
Reverse Engineering CAD from 3D Scans
Converting Point Clouds to Editable CAD Sequences
OpenEMMA: Revolutionizing Autonomous Driving
An Open-Source Multimodal Model for End-to-End Self-Driving Systems
LABIIUM: Revolutionizing Lab Automation
Zero-configuration AI-powered measurement system
Human-Guided Autonomous Driving
Integrating human instructions into autonomous vehicle decision-making
Advancing Autonomous Driving with AI
Leveraging Multimodal LLMs for Safer, Smarter Vehicles
LLMs Revolutionizing 6G Networks
A multi-task approach to optimize wireless communications
Smart Synthesis Pathways for Complex Materials
Automating chemical synthesis with AI and knowledge graphs
AI-Powered Materials Discovery
Using LLM Agents with Goals and Constraints to Accelerate Innovation
HERMES: Revolutionizing Autonomous Driving Intelligence
Unifying 3D scene understanding and generation in a single world model
AI-Powered Grid Optimization
Using Large Language Models to Transform Power Distribution Networks
AI-Powered Energy Management for EVs
Leveraging LLMs to Optimize Electric Vehicle Charging Networks
Enhancing Autonomous Vehicle Safety Testing
LLMs for Smarter Adversarial Scenario Generation
AI-Powered Anomaly Detection for Cloud Infrastructure
Using LLMs to enhance resilience and support Site Reliability Engineers
AI-Powered Material Design
Using LLMs to Engineer Precise Defects in MoS2 for Tailored Properties
GLLM: AI-Powered CNC Programming
Automating G-code Generation with Self-Correcting Language Models
AI-Powered Defect Prediction in 3D Printing
Using Large Language Models to Enhance Manufacturing Quality
Graph-RAG LLM Agents for Optimization Modeling
Advanced approach for sensor array signal processing challenges
Self-Improving AI for Energy Systems
How LLMs can adaptively generate optimal control policies for microgrids
Bridging Array Databases and MapReduce
A novel translation system for high-performance big data processing
AI-Powered CFD: The Future of Fluid Dynamics
Large Language Models Automating Complex Simulations
Testing ChatGPT's Engineering Problem-Solving Skills
Comparing AI vs. Human Performance on Engineering Statics Problems
Bridging AI and Applied Mathematics
Using LLMs to Control PDE-Based Systems
Smart Hybrid Driving: LLMs Meet Reinforcement Learning
Combining AI approaches for safer, more efficient autonomous vehicles
Smarter ADS Testing from Real-World Data
Transforming accident data into realistic test scenarios for autonomous vehicles
Optimizing Design Exploration with AI
Using generative models to discover Pareto-optimal engineering solutions
Revolutionizing Analog Circuit Design with AI
LLMs as Universal Circuit-Sizing Optimizers
SensorChat: Making Sensor Data Speak Your Language
A breakthrough in long-term, multimodal sensor interactions through natural language
Leveraging LLMs for Energy Data Generation
Solving data scarcity in household energy modeling
Smart EV Charging with AI
Combining LLMs and GNNs for Optimized Grid Stability
AI-Powered Photonic Chip Design
First Benchmark for Testing LLMs in Photonic Circuit Design
AI-Powered Problem Formulation in Mission Engineering
Evaluating ChatGPT's capabilities in systems engineering challenges
Bridging LLMs and Closed-Source Simulation Software
Retrieval-Augmented Generation for Proprietary Engineering Tools
SOLOMON: Making LLMs Domain-Experts
A neuro-inspired approach for adapting foundation models to specialized engineering tasks
LLMs Tackle Engineering Challenges
Evaluating the problem-solving capabilities of LLMs in thermodynamics
Revolutionizing Database Query Optimization with LLMs
Leveraging AI to outperform traditional query optimizers
AI-Powered Fusion Energy Communication
Using LLMs to Bridge the Gap in Nuclear Fusion Understanding
Power-Efficient AI Training
Optimizing Analog Computing for Large Language Models
Transforming Autonomous Driving with LLMs
First integration of large language models with occupancy prediction
TorchResist: Revolutionizing Semiconductor Manufacturing
A Differentiable Photoresist Simulator for Advanced Lithography
Optimizing Business Processes with AI
Using GPT-4o to Detect Rework Anomalies
Evaluating LLMs in Circuit Design
First benchmark for testing language models' circuit reasoning capabilities
Cost-Effective AV Behavior Repair
Fixing autonomous driving violations for just $0.08 each
Optimizing Ad Retrieval with Progressive LLMs
How Walmart eCommerce improves sponsored search using domain-specialized language models
The Limits of Trust: LLMs in Systems Engineering
Why Expert Human Knowledge Still Outperforms AI in Complex Engineering Tasks
Unlocking LLM-Powered CAD Design
A Novel Hierarchical Language for Complex Geometry Generation
AI-Powered Earthquake Liquefaction Prediction
Multi-Modal Transformers for Enhanced Geotechnical Risk Assessment
AI-Powered Energy Grid Optimization
LLMs Reduce Costs in Renewable Energy Management
Multi-Agent LLMs for Electronic Design
Using collaborative AI agents to automate complex chip design workflows
LLMs Revolutionizing Manufacturing Models
Leveraging AI for Efficient, Data-Minimal Process Optimization
Enhancing Logical Systems with Expert Knowledge
Leveraging LLMs to embed engineering expertise into automated reasoning
CoT Reasoning in Chemical Engineering
Enhancing predictions from limited experimental data
AI Revolution for Perovskite Solar Cell Research
Knowledge-Enhanced LLMs to Accelerate Renewable Energy Innovation
Smart Circuit Learning
Advancing EDA with Novel Masked Gate Modeling
AI for Materials Discovery
Integrating Atomic Structures with LLMs for Advanced Material Science
LLMs for Hardware Design Automation
Exploring AI-driven hardware generation through HLS
AI-Powered Materials Discovery
Integrating LLMs with Scientific Data for Advanced Alloy Development
From Vision to Control: Bridging the Autonomous Driving Gap
Teaching AI to drive like humans across diverse scenarios
Code Generation for Engineering: Top LLMs Ace LoRaWAN Tasks
DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 successfully generate accurate engineering code
Unlocking Data Lakes with LLMs
An intelligent approach to semantic data discovery and organization
FaultGPT: Multimodal AI for Industrial Diagnosis
Leveraging vision-language models to revolutionize mechanical fault detection
Intelligent Q&A for Smart Grids
Optimizing RAG systems with iterative retrieval for complex infrastructure
AI-Powered Maintenance Assistance
Enhancing Support Systems with Multi-Format Retrieval-Augmented Generation
DeepRTL: Revolutionizing Hardware Design with AI
A unified model for both Verilog understanding and generation
Supercharging Parameter Extraction from Technical Documents
Using Advanced Chain-of-Thought Reasoning with LLMs
Multi-Agent LLMs for Smarter Autonomous Driving
Overcoming the limitations of single-agent systems
LLMs as Microservice Trace Generators
Using AI to create realistic synthetic workload traces for system testing
Reading Minds on Maps
Real-time intention recognition for interactive navigation
AI-Powered Storage Optimization
Using LLMs to Auto-Tune Key-Value Stores for Peak Performance
DeepCircuitX: Revolutionizing Hardware Design with AI
The first comprehensive repository-level dataset for RTL code understanding
IDM-GPT: Transforming Traffic Mobility Analysis
A self-supervised framework combining LLMs with transportation data
Talking to Engineering Diagrams
Enabling Natural Language Interaction with P&IDs
SeisMoLLM: Seismic Monitoring Revolution
Leveraging LLM capabilities for seismic data without domain-specific pre-training
LLMs for Hardware Verification
Evaluating AI-powered assertion generation for hardware designs
Securing Vector Databases for the AI Era
A Testing Roadmap for Critical LLM Infrastructure
Llamarine: Navigating Maritime Challenges with AI
First open-source LLM specialized for maritime navigation
SafeAuto: Enhancing Self-Driving with AI
Integrating Knowledge-Enhanced Multimodal Foundation Models for Safer Autonomous Driving
Enhancing Autonomous Vehicle Communication
A Parallel Actor-Reasoner Framework Using LLMs
AI Agents Revolutionizing Gamma Astronomy
Solving complex operational challenges in next-gen telescope systems
Bridging Natural Language and CFD Workflows
LLM-Powered Parameter Optimization for Engineering Simulations
LLMs for Smarter Autonomous Vehicles
Enhancing Obstacle Avoidance with AI-Defined Safety Corridors
Measuring LLM Intelligence in Test & Measurement
First benchmark for evaluating LLMs in precision engineering
LLMs Revolutionizing Digital Twins
Enhancing industrial modeling through AI-powered digital representation
Revolutionizing Connected Vehicle Data Intelligence
How Language Models Are Transforming V2X Communication Systems
Text-Driven Testing for Autonomous Vehicles
Automating scenario generation with natural language descriptions
TreeCat: Revolutionizing Data Catalogs
A standalone, specialized catalog engine for modern data systems
BEVDriver: The Future of AI-Driven Vehicles
Enhancing LLMs with Bird's-Eye View Maps for Reliable Autonomous Driving
Bridging the Gap Between Natural Language and System Metrics
AI-Powered Text-to-PromQL Transformation for System Reliability
Multimodal Summarization in Automotive Engineering
Enhancing Understanding in Complex Model-Based Engineering Systems
Smarter Database Exploration for AI
Automating database understanding for better text-to-SQL results
AI-Powered Automotive Metamodeling
Using LLMs to Automate Domain-Specific Model Creation
Infinite Traffic Scenarios for AV Testing
Using large language models to generate diverse simulation environments
Blockchain-Ready Machine Learning
Using LLMs to Generate Optimized Solidity Code for ML Models
Next-Gen Autonomous Driving Perception
Integrating Deep Learning & Multimodal LLMs for Enhanced Road Safety
Autonomous Stunt Driving with AI
Using LLMs to control high-agility vehicle maneuvers
Vision-Language Integration in Autonomous Driving
Aligning visual perception with language understanding for better self-driving systems
Optimizing OS Performance with LLMs
Knowledge-driven approach to custom kernel configurations
Decoding PDEs with AI
Using LLMs to discover symbolic structures in complex equations
Unlocking Autonomous Driving's Potential
Leveraging Unlabeled Data to Enhance Language-Driven Vehicle Control
Evaluating MLLMs for Autonomous Driving
A systematic framework for assessing multimodal AI capabilities in self-driving vehicles
Intelligent Traffic Control with LLM Agents
Enabling coordination between AI traffic controllers across urban networks
AI-Powered Maritime Navigation
Revolutionizing USV Mission Planning with Large Language Models
Logic-RAG: Enhancing Autonomous Driving Intelligence
Boosting Visual-Spatial Reasoning in Multimodal AI Systems
Multi-View Driving Scene Understanding for AI
Advancing MLLMs for Complex Autonomous Vehicle Environments
LLM-Enhanced Quantum GANs
Using AI to Optimize Quantum Circuit Design
Smart SSD Management with AI
Using Large Language Models to Optimize Hybrid Storage Performance
The Fine-Tuning Dilemma: IP Protection vs. LLM Utility
Balancing proprietary knowledge and model performance in hardware design
Precision Control in AI for Aerospace
Intervening at inference-time for reliable requirement verification
Control Theory in the AI Era
Comparing PID, MPC, and Machine Learning Controllers
GASP: The Future of Self-Driving Intelligence
Unifying Geometric and Spatial Understanding for Autonomous Vehicles
Simplifying Autonomous Driving Assessment
Converting open-ended questions to multiple-choice for reliable evaluation
AI Revolution in Water Infrastructure Management
Leveraging Large Language Models to Transform Water Distribution Systems
MLLMs Meet Manufacturing
How AI Models Understand Welding Across Industries
Smart Roads, Smarter Vehicles
Enhancing autonomous driving through multi-layer cooperative decision-making
LLMs for Chemical Engineering: Text2Model
Generating Dynamic Reactor Models from Text Descriptions
Revolutionizing Industrial Maintenance with AI
Using Causal Inference & LLMs to Predict Machine Lifespan
Benchmarking LLMs for Geospatial Intelligence
Evaluating AI models on multi-step GIS tasks for real-world applications
Streamlining Engineering Simulations with AI
Using Small LLMs to Generate Geometry for Physical Simulations
AI-Powered Modelica Code Generation
Leveraging LLMs to Democratize Complex Physical System Modeling
LLMs Meet Databases: Next Token Magic
Applying LLM techniques to optimize database operations
AI-Powered Nuclear Design Optimization
Solving Complex Engineering Problems Through LLM-Based Prompting
ORION: Bridging Vision and Action in Self-Driving
A holistic framework connecting vision-language understanding to autonomous driving decisions
Enhancing Self-Driving Systems with Knowledge Editing
A multimodal approach to improve autonomous driving safety and reliability
Intelligent Risk Management for Logistics
Harnessing LLMs for Enhanced Supply Chain Decision-Making
Leveraging Product Recalls for Predictive Risk Analysis
How LLMs and multimodal data are transforming product safety assessment
AI-Driven Autonomous Vehicles
Bridging Vision and Language for End-to-End Driving
UniFault: Revolutionizing Machine Fault Diagnosis
A foundation model approach for predictive maintenance
Benchmarking LLMs for CFD Automation
Evaluating ChatGPT, Qwen, and Deepseek for OpenFOAM workflows
Benchmarking LLMs for High-Performance Computing
Evaluating DeepSeek's capabilities in generating specialized HPC code
Optimizing AI Workflows for Hardware Design
How VFlow discovers the most efficient LLM sequences for Verilog generation
The Future of AI in Cyber-Physical Systems
Expanding Beyond LLMs to Revolutionize CPS Engineering
LLMs for Quantum Program Quality Assurance
Leveraging AI to enhance quantum code linting
Context-Aware Control Systems
Enhancing MPC with Human-LLM Collaboration
Testing LLMs on Engineering Problem-Solving
A new benchmark for evaluating physics and engineering reasoning in AI models
Transforming CAD with AI
Adapting Transformer Networks for Boundary Representation Models
Combatting AI Hallucinations Through Neuro-Symbolic Methods
Enhancing LLM reliability using ontological reasoning
AI-Powered Aerodynamic Prediction
Transformers Revolutionizing Vehicle Drag Coefficient Calculations
Automating CFD with Fine-tuned LLMs
Making fluid dynamics simulations accessible through AI
Automating Circuit Design with AI
Graph Neural Networks for Predicting Missing Circuit Connections
AlayaDB: Revolutionizing Long-Context LLM Inference
A Vector Database System for More Efficient and Effective LLM Processing
Quantum Circuit Generation with LLMs
Fine-tuning Large Language Models for quantum optimization problems
AI Agents Transform Circuit Design
Using LLMs to Automate Analog Circuit Sizing
AI-Powered Timing Analysis for VLSI Circuits
Autonomous debugging for complex chip design workflows
AI-Powered Floorplanning Innovation
Using Large Language Models to Solve Complex Layout Challenges
