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- Year in Review
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December 20, 2024
Understanding Transformer reasoning capabilities via graph algorithms -
December 19, 2024
Google Research 2024: Breakthroughs for impact at every scale -
December 9, 2024
Making quantum error correction work -
December 6, 2024
Looking back at speculative decoding -
November 25, 2024
Bridging the gap in differentially private model training -
November 13, 2024
Can algorithms make tournament cheating obsolete? -
October 23, 2024
Scalable self-improvement for compiler optimization -
October 10, 2024
Validating random circuit sampling as a benchmark for measuring quantum progress -
September 20, 2024
Scaling up linear programming with PDLP -
June 4, 2024
Heuristics on the high seas: Mathematical optimization for cargo ships -
May 1, 2024
Scaling hierarchical agglomerative clustering to trillion-edge graphs -
April 19, 2024
Improving Gboard language models via private federated analytics