11 citations · 11 across the 4 of their papers we have counts for
4 papers
PetroBench: A Benchmark for Large Language Models in Petroleum Engineering
Xiang Wang, Tingting Zhang, Sen Wang +4
Large Language Models are increasingly applied in the petroleum industry, highlighting the need for a domain-specific evaluation framework. This study develops a benchmark for LLMs…
Efficient LLM Inference on CPUs
Haihao Shen, Hanwen Chang, Bo Dong +2
Large language models (LLMs) have demonstrated remarkable performance and tremendous potential across a wide range of tasks. However, deploying these models has been challenging du…
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
Haihao Shen, Hengyu Meng, Bo Dong +9
In recent years, Transformer-based language models have become the standard approach for natural language processing tasks. However, stringent throughput and latency requirements i…
Fast DistilBERT on CPUs
Haihao Shen, Ofir Zafrir, Bo Dong +7
Transformer-based language models have become the standard approach to solving natural language processing tasks. However, industry adoption usually requires the maximum throughput…