Jian Yin

Improving Question Answering by Commonsense-Based Pre-Training

2018 · arXiv (Cornell University)

Although neural network approaches achieve remarkable success on a variety of NLP tasks, many of them struggle to answer questions that require commonsense knowledge. We believe the main reason is the lack of commonsense \mbox{connections} …

Indiscriminate Poisoning Attacks Are Shortcuts.

2021 · arXiv (Cornell University)

Indiscriminate data poisoning attacks, which add imperceptible perturbations to training data to maximize the test error of trained models, have become a trendy topic because they are thought to be capable of preventing unauthorized use …

Client layer becomes bottleneck

2021

Recent years have witnessed the fast development of file and storage systems. Many improvements of file and storage systems are inspired by Workload analysis, which reveals the characteristics of I/O behavior. Although cloud storage systems …

How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation

2016

Recently a few systems for automatically solving math word problems have reported promising results. However, the datasets used for evaluation have limitations in both scale and diversity. In this paper, we build a large-scale dataset …

Dialog-to-action: conversational question answering over a large-scale knowledge base

2018 · Neural Information Processing Systems

We present an approach to map utterances in conversation to logical forms, which will be executed on a large-scale knowledge base. To handle enormous ellipsis phenomena in conversation, we introduce dialog memory management to manipulate …