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University of Illinois Urbana-Champaign
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xPress boosts acceptance lengths by 30% and decoding throughput by 1.3 times, transforming how block-diffusion drafters handle causal dependencies.
Low-bit quantization can inflate reasoning length, leading to hidden compute costs that traditional accuracy metrics overlook.
Crafter revolutionizes scientific figure generation by enabling multi-type outputs and local editability, outperforming existing systems across diverse benchmarks.
RL fine-tuning can nearly double the performance of LLM agents on complex, multi-step spreadsheet tasks, suggesting a promising path towards automating real-world data-centric workflows.
