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Current LLMs only achieve 27.3% accuracy in reasoning about scientific lineage, revealing a critical gap in their compositional capabilities.
Representation misalignment is the hidden bottleneck in multimodal sentiment analysis, and aligning modalities before fusion can yield superior performance.
LLMs can now translate text in web images with significantly improved accuracy and efficiency thanks to a novel visual-aware adaptation framework that bridges the gap between high-level semantics and fine-grained visual details.
Language models are increasingly doing their real work in the "invisible" latent space, not the tokens we see.
EpochX tackles the challenge of scaling AI agent collaboration by creating a marketplace where verifiable work leaves behind reusable artifacts, incentivizing durable human-agent partnerships.
