awesome-llm4ad
github.com/thinklab-sjtu/awesome-llm4ad ↗A curated list of awesome LLM/VLM/VLA/World Model for Autonomous Driving(LLM4AD) resources (continually updated)
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Papers
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me papers resources from awesome-llm4ad"
Installation instructions →What's inside
Papers
- 2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model
- 4D-WAM: 4D Consistent World Modeling for Autonomous Driving
- 4DWorldBench
- 4DWorldBench: A Comprehensive Evaluation Framework for 3D/4D World Generation Models
- A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving
- Action Emergence from Streaming Intent
Showing a sample of 728 resources. View the full list on GitHub →