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Just because your agent can write and store memories well doesn't mean it can actually *use* them effectively in a dynamic, multimodal world.
Smaller language models can now achieve state-of-the-art claim verification performance by jointly optimizing for decomposition quality and verification accuracy using a novel reinforcement learning approach.
VLMs struggle with structured information extraction from documents when faced with diverse schemas and underspecified queries, as revealed by the new ExStrucTiny benchmark.
