334 citations · 784 across the 20 of their papers we have counts for
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cs.AI2025
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
Anna Goldie, Azalia Mirhoseini, Hao Zhou +2
Reinforcement learning has been shown to improve the performance of large language models. However, traditional approaches like RLHF or RLAIF treat the problem as single-step. As f…
cs.AI2024
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design
Anna Goldie, Azalia Mirhoseini, Jeff Dean
In 2020, we introduced a deep reinforcement learning method capable of generating superhuman chip layouts, which we then published in Nature and open-sourced on GitHub. AlphaChip h…
cs.AI2020
Placement Optimization with Deep Reinforcement Learning
Anna Goldie, Azalia Mirhoseini
Placement Optimization is an important problem in systems and chip design, which consists of mapping the nodes of a graph onto a limited set of resources to optimize for an objecti…