research
∙
06/21/2023
On Evaluation of Document Classification using RVL-CDIP
The RVL-CDIP benchmark is widely used for measuring performance on the t...
share
research
∙
05/06/2023
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries
A binary's behavior is greatly influenced by how the compiler builds its...
research
∙
04/07/2023
Revisiting Deep Learning for Variable Type Recovery
Compiled binary executables are often the only available artifact in rev...
research
∙
10/24/2022
Augmenting Task-Oriented Dialogue Systems with Relation Extraction
The standard task-oriented dialogue pipeline uses intent classification ...
research
∙
10/14/2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers
The ability of a document classifier to handle inputs that are drawn fro...
research
∙
10/11/2022
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning
Compiled software is delivered as executable binary code. Developers wri...
research
∙
08/17/2022
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection
Neural clone detection has attracted the attention of software engineeri...
research
∙
07/26/2022
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog
Interest in dialog systems has grown substantially in the past decade. B...
research
∙
04/12/2022
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset
Dialog systems must be capable of incorporating new skills via updates o...
research
∙
03/15/2022
One Agent To Rule Them All: Towards Multi-agent Conversational AI
The increasing volume of commercially available conversational agents (C...
research
∙
01/18/2021
MIMOSA: Reducing Malware Analysis Overhead with Coverings
There is a growing body of malware samples that evade automated analysis...
research
∙
09/04/2019
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Task-oriented dialog systems need to know when a query falls outside the...
research
∙
06/27/2019