Unified Reinforcement and Imitation Learning for Vision-Language Models

Benchmark Model Rank Results
visual-question-answering-on-mm-vetInternVL3-RIL-1B (Both)–GPT-4 score: 62.9
visual-question-answering-on-mm-vetInternVL3-RIL-2B (Both)–GPT-4 score: 70.7
visual-question-answering-on-mm-vetInternVL3-RIL-8B (Both)–GPT-4 score: 80.1
visual-question-answering-on-mm-vetQwen2.5-VL-RIL-3B (Both)–GPT-4 score: 74.7
visual-question-answering-on-mm-vetQwen2.5-VL-RIL-7B (Both)–GPT-4 score: 80.4