Cover Image

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Wenhao, Cao, Yulong, Zhao, Ding, Xiao, Chaowei, Pavone, Marco
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RealDrive: Retrieval-Augmented Driving with Diffusion Models
by: Ding, Wenhao, et al.
Published: (2025)

Surprise Potential as a Measure of Interactivity in Driving Scenarios
by: Ding, Wenhao, et al.
Published: (2025)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
by: Zhang, Shenyu, et al.
Published: (2025)

RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards
by: Ye, Junyan, et al.
Published: (2025)

RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
by: Ruan, Weilin, et al.
Published: (2025)

ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
by: Zhu, Yuqicheng, et al.
Published: (2025)

ROM: Real-time Overthinking Mitigation via Streaming Detection and Intervention
by: Wang, Xinyan, et al.
Published: (2026)

HiVeGen -- Hierarchical LLM-based Verilog Generation for Scalable Chip Design
by: Tang, Jinwei, et al.
Published: (2024)

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
by: Liu, Dongqi, et al.
Published: (2026)

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
by: Xiao, Yongkang, et al.
Published: (2025)

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
by: Mao, Xiaowei, et al.
Published: (2026)

Source Attribution in Retrieval-Augmented Generation
by: Nematov, Ikhtiyor, et al.
Published: (2025)

LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment
by: Yu, Zhe, et al.
Published: (2026)

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
by: Lin, Haohong, et al.
Published: (2024)

Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)

TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios
by: Shen, Yuanzhe, et al.
Published: (2026)

Retrieval Augmented Generation for Dynamic Graph Modeling
by: Wu, Yuxia, et al.
Published: (2024)

Causal Composition Diffusion Model for Closed-loop Traffic Generation
by: Lin, Haohong, et al.
Published: (2024)

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
by: Goh, Yong Liang, et al.
Published: (2024)

Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
by: Banerjee, Somrita, et al.
Published: (2025)

Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
by: Liu, Fuqiang, et al.
Published: (2025)

Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
by: Zhou, Xinrui, et al.
Published: (2024)

Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
by: Zhao, Ziwen, et al.
Published: (2026)

IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
by: Sun, Mingchun, et al.
Published: (2026)

Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning
by: Jin, Joobin, et al.
Published: (2025)

FairJob: A Real-World Dataset for Fairness in Online Systems
by: Vladimirova, Mariia, et al.
Published: (2024)

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)

OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
by: Cui, Fan, et al.
Published: (2024)

Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
by: Zhang, Zishen, et al.
Published: (2025)

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization
by: Yang, Kai, et al.
Published: (2025)

Virtual Nodes Improve Long-term Traffic Prediction
by: Cao, Xiaoyang, et al.
Published: (2025)

A Unified Framework for Next-Gen Urban Forecasting via LLM-driven Dependency Retrieval and GeoTransformer
by: Jia, Yuhao, et al.
Published: (2024)

Deconstructing Generative Diversity: An Information Bottleneck Analysis of Discrete Latent Generative Models
by: Wu, Yudi, et al.
Published: (2025)

Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
by: Zhu, Ming, et al.
Published: (2023)

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
by: Zhou, Jiawei, et al.
Published: (2024)

Embracing Large Language Models in Traffic Flow Forecasting
by: Zhao, Yusheng, et al.
Published: (2024)

Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
by: Wu, Peilin, et al.
Published: (2025)

SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

Generic Multi-modal Representation Learning for Network Traffic Analysis
by: Gioacchini, Luca, et al.
Published: (2024)