A Distributed System for Large-scale n-gram Language Models at Tencent
Summary: Tencent's distributed system for large n-gram LMs; indexing, batching, caching reduce network traffic and speed nodes. Cascade fault-tolerance switches to smaller n-grams on failure; shown on 9 ASR datasets and deployed to WeChat at 100M messages/min. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qiang Long
- 2. Wei Wang
- 3. Jinfu Deng
- 4. Song Liu
- 5. Wenhao Huang
- 6. Fangying Chen
- 7. Sifan Liu
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,712 | ANN Softmax: Acceleration of Extreme Classification Training | 2022 | VLDB | 4.4626362e-05 |
| 10,983 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 316 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00027988668 |
| 329 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027249545 |
| 2,126 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.4887794e-05 |
| 3,808 | SketchML: Accelerating Distributed Machine Learning with Data Sketches | 2018 | SIGMOD | 6.7455428e-05 |
| 7,125 | Fast Failure Recovery in Distributed Graph Processing Systems | 2015 | VLDB | 4.8246382e-05 |
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