Benchmarking Deflection and Hallucination in Large Vision-Language Models

Develop an automated evaluation framework for LVLMs that detects when the model should refuse a question rather than hallucinate. This is critical for reliable RAG pipelines.

Suggested repo: vigilant-vision

"Make your LVLM smart enough to say 'I don't know' when visual evidence is missing."

Estimated effort: 60h