48 citations · 79 across the 3 of their papers we have counts for
3 papers
cs.AR2025
Analysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study
Duo Chai, Zizhen Liu, Shuhuai Wang +4
Large language models (LLMs) are highly compute- and memory-intensive, posing significant demands on high-performance GPUs. At the same time, advances in GPU technology driven by s…
cs.CL2020★ 31 cited
Description Based Text Classification with Reinforcement Learning
Duo Chai, Wei Wu, Qinghong Han +2
The task of text classification is usually divided into two stages: {\it text feature extraction} and {\it classification}. In this standard formalization categories are merely rep…
cs.CL2019★ 48 cited
Entity-Relation Extraction as Multi-Turn Question Answering
Xiaoya Li, Fan Yin, Zijun Sun +6
In this paper, we propose a new paradigm for the task of entity-relation extraction. We cast the task as a multi-turn question answering problem, i.e., the extraction of entities a…