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University of Southern California
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WhiteMatter achieves superior performance with fewer resources by allowing each attention layer to dynamically access all previous layer representations, challenging traditional fixed connection patterns.
Translation quality hinges on the strategy employed, with human preferences favoring context-rich explanations over direct equivalence.
Crypto copilots might seem equally helpful on average, but LATTICE reveals hidden trade-offs in their decision support abilities across different tasks and user priorities.
LLMs can learn to use poorly documented tools more effectively by iteratively refining documentation based on observed execution feedback, challenging the assumption of perfectly documented tools in existing benchmarks.
