LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmark
cs.AI, cs.CL, cs.CV, cs.CY
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/IremYoldas/LLM-Driven-AVPedestrian-Bias
Terminology
Sources
- Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving
- Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
- RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
- Toxicity in ChatGPT: Analyzing Persona-assigned Language Models
- StereoSet: Measuring stereotypical bias in pretrained language models
- LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions
- Current state of LLM Risks and AI Guardrails
- A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
- Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges
- Age and gender bias in pedestrian detection algorithms
- Joint Attention in Autonomous Driving (JAAD)
- Qwen3-VL Technical Report
- Qwen3 Technical Report
- The Llama 3 Herd of Models
- Mistral 7B
- GPT-4o System Card
- SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
- The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
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