42 citations · 96 across the 8 of their papers we have counts for
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cs.CL2023
A Static Evaluation of Code Completion by Large Language Models
Hantian Ding, Varun Kumar, Yuchen Tian +9
Large language models trained on code have shown great potential to increase productivity of software developers. Several execution-based benchmarks have been proposed to evaluate…
cs.CL2017★ 41 cited
Neural Models for Sequence Chunking
Feifei Zhai, Saloni Potdar, Bing Xiang +1
Many natural language understanding (NLU) tasks, such as shallow parsing (i.e., text chunking) and semantic slot filling, require the assignment of representative labels to the mea…
cs.CL2016★ 42 cited
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
Yang Yu, Wei Zhang, Kazi Hasan +3
This paper proposes dynamic chunk reader (DCR), an end-to-end neural reading comprehension (RC) model that is able to extract and rank a set of answer candidates from a given docum…