3 papers
cs.AR2024
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng, Jun Liu, Guohao Dai +14
Transformer-based Large Language Models (LLMs) have made a significant impact on various domains. However, LLMs' efficiency suffers from both heavy computation and memory overheads…
cs.CL2023
Human Transcription Quality Improvement
Jian Gao, Hanbo Sun, Cheng Cao +1
High quality transcription data is crucial for training automatic speech recognition (ASR) systems. However, the existing industry-level data collection pipelines are expensive to…
eess.AS2023
HTEC: Human Transcription Error Correction
Hanbo Sun, Jian Gao, Xiaomin Wu +3
High-quality human transcription is essential for training and improving Automatic Speech Recognition (ASR) models. Recent study~\cite{libricrowd} has found that every 1% worse tra…