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Text world models can transform LLM-based agents from reactive responders into proactive planners, enhancing their performance in complex interactive tasks.
Today's best language models can barely make sense of your messy group chats and fragmented digital life, achieving only 19% accuracy on a new benchmark of real-world reasoning.
Force your VLMs to *show their work*: Saliency-R1 aligns model attention with human-annotated visual cues, boosting faithfulness and interpretability without extra compute.
