36 citations · 124 across the 26 of their papers we have counts for
3 papers · 1 filter
Lucy: Think and Reason to Solve Text-to-SQL
Nina Narodytska, Shay Vargaftik
Large Language Models (LLMs) have made significant progress in assisting users to query databases in natural language. While LLM-based techniques provide state-of-the-art results o…
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression
Wenchen Han, Shay Vargaftik, Michael Mitzenmacher +2
Gradient aggregation has long been identified as a major bottleneck in today's large-scale distributed machine learning training systems. One promising solution to mitigate such bo…
Optimal and Near-Optimal Adaptive Vector Quantization
Ran Ben-Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher +1
Quantization is a fundamental optimization for many machine-learning use cases, including compressing gradients, model weights and activations, and datasets. The most accurate form…