Papers
1–3 of 3Research Paper·Mar 3, 2026
LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model
Accurate classification of autonomous vehicle (AV) driving behaviors is critical for safety validation, performance diagnosis, and traffic integration analysis. However, existing approaches primarily ...
7.0 viability
Research Paper·Jan 29, 2026
Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
Autonomous driving is an important and safety-critical task, and recent advances in LLMs/VLMs have opened new possibilities for reasoning and planning in this domain. However, large models demand subs...
2.0 viability
Research Paper·Mar 6, 2026
BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations
The integration of Large Language Models (LLMs) into autonomous driving has attracted growing interest for their strong reasoning and semantic understanding abilities, which are essential for handling...
2.0 viability