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cs.LG2026
Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR)
Chenhao Fang, Jordi Mola, Mark Harman +10
Although LLMs drive automation, it is critical to ensure immense consideration for high-stakes enterprise workflows such as those involving legal matters, risk management, and priv…
cs.LG2024
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Jay Shah, Ganesh Bikshandi, Ying Zhang +3
Attention, as a core layer of the ubiquitous Transformer architecture, is the bottleneck for large language models and long-context applications. FlashAttention elaborated an appro…