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FinSAgent achieves a breakthrough in financial question answering by aligning retrieval strategies with the intricate structure of SEC filings, leading to superior evidence validity and answer accuracy.
MATCH reveals that integrating in-context retrieval can dramatically boost the performance of sparse attention models without sacrificing efficiency.
RoboNaldo slashes free-kick shot errors by nearly 50% while achieving ball speeds that rival professional soccer players.
Uniformly quantizing the entire diffusion action head of VLAs to W4A4 is not only possible, but can match or exceed FP16 performance, defying conventional wisdom and slashing memory footprint by 71%.
