Multimodal large language models (MLLMs) often struggle with small visual details, but do we need to retrain them to fix this? In our #ICLR'25 paper, we found that MLLMs already know where to look—even when their final answers are wrong!

🔍 Diving deep into LLM reasoning? From OpenAI's o-series to DeepSeek R1, from post-training to test-time compute — we break it down into structured spreadsheets. 🧵

thinking of calling this "The Illusion Illusion" (more examples below)