3 papers
cs.CL2025
Context-Enhanced Granular Edit Representation for Efficient and Accurate ASR Post-editing
Luan Vejsiu, Qianyu Zheng, Haoxuan Chen +1
Despite ASR technology being full-scale adopted by industry and for large portions of the population, ASR systems often have errors that require editors to post-edit text quality.…
cs.SE2025
Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models
Xiao Yu, Haoxuan Chen, Feifei Niu +3
With the rapid development of large language models (LLMs), distributed training and inference frameworks like DeepSpeed have become essential for scaling model training and infere…
math.ST2023
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality
Jose Blanchet, Haoxuan Chen, Yiping Lu +1
This paper studies the use of a machine learning-based estimator as a control variate for mitigating the variance of Monte Carlo sampling. Specifically, we seek to uncover the key…