Teach-to-Crash: A Closed-Loop Student-Teacher LLM Framework for Collision-Inducing Test Scenario Generation
cs.SE, cs.AI, cs.MA, cs.SY, eess.SY
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- CARLA: An Open Urban Driving Simulator
- Grammar-Constrained Refinement of Safety Operational Rules Using Language in the Loop: What Could Go Wrong
- Towards Goal-oriented Prompt Engineering for Large Language Models: A Survey
- Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
- Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving
- Guided Conditional Diffusion for Controllable Traffic Simulation
Related papers
- Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits
- GitSkills: A Dataset of Agent Skills on GitHub
- SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
- PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
- IntentCoding: Amplifying User Intent in Code Generation
- Incentives and Outcomes in Bug Bounties