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SIGMOD 2027

2 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Nov 9, 2026 · Artificial Intelligence

MapFlow: Cross-Model Attention Map Reuse Cuts LLM Prefill Latency 15-20%

Peking University researchers introduce MapFlow, a system that reuses attention maps across different-sized LLMs to avoid recomputing shared context during model handoffs, reducing prefill latency by 15–20% and increasing multi-turn dialogue throughput up to 25% while maintaining generation quality.

LLM inferenceMapFlowPKU-DAIR
0 likes · 11 min read
MapFlow: Cross-Model Attention Map Reuse Cuts LLM Prefill Latency 15-20%
Tencent Advertising Technology
Tencent Advertising Technology
Oct 21, 2026 · Databases

AdaBool: Adaptive Sparse Boolean Matrix Processing on GPU (SIGMOD 2027)

Tencent and HKU propose AdaBool, an adaptive GPU framework for sparse boolean matrix multiplication that dynamically selects offset arrays or bitmaps per block, achieving up to 264x throughput over cuSPARSE/cuBool and 2-7.9x memory reduction, deployed for million-ad real-time filtering.

Adaptive Data RepresentationGPU AccelerationReal-time Ad Filtering
0 likes · 25 min read
AdaBool: Adaptive Sparse Boolean Matrix Processing on GPU (SIGMOD 2027)