activity
20172021
most citedExploring Question Understanding and Adaptation in Neural-Network-Based Question Answering

38 citations · 49 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20213 cited

Towards Making Deep Learning-based Vulnerability Detectors Robust

Zhen Li, Jing Tang, Deqing Zou +5

Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention. In particular, deep learning-based vulnerability detector…

cs.CV2021

From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting

Mengcheng Lan, Shuliang Ning, Yanran Li +4

Despite video forecasting has been a widely explored topic in recent years, the mainstream of the existing work still limits their models with a single prediction space but complet…

cs.CL20212 cited

Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation

Qinglin Zhang, Qian Chen, Yali Li +2

Transcripts generated by automatic speech recognition (ASR) systems for spoken documents lack structural annotations such as paragraphs, significantly reducing their readability. A…

cs.CL20196 cited

Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

Tianda Li, Xiaodan Zhu, Quan Liu +3

Natural language inference (NLI) is among the most challenging tasks in natural language understanding. Recent work on unsupervised pretraining that leverages unsupervised signals…

cs.CL201738 cited

Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering

Junbei Zhang, Xiaodan Zhu, Qian Chen +3

The last several years have seen intensive interest in exploring neural-network-based models for machine comprehension (MC) and question answering (QA). In this paper, we approach…