activity
20192022
most citedMIMOSA: Reducing Malware Analysis Overhead with Coverings

13 citations · 14 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

Augmenting Task-Oriented Dialogue Systems with Relation Extraction

Andrew Lee, Zhenguo Chen, Kevin Leach +1

The standard task-oriented dialogue pipeline uses intent classification and slot-filling to interpret user utterances. While this approach can handle a wide range of queries, it do…

cs.CL2022

One Agent To Rule Them All: Towards Multi-agent Conversational AI

Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy +6

The increasing volume of commercially available conversational agents (CAs) on the market has resulted in users being burdened with learning and adopting multiple agents to accompl…

cs.CR202113 cited

MIMOSA: Reducing Malware Analysis Overhead with Coverings

Mohsen Ahmadi, Kevin Leach, Ryan Dougherty +2

There is a growing body of malware samples that evade automated analysis and detection tools. Malware may measure fingerprints ("artifacts") of the underlying analysis tool or envi…

cs.CL2019

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Stefan Larson, Anish Mahendran, Joseph J. Peper +8

Task-oriented dialog systems need to know when a query falls outside their range of supported intents, but current text classification corpora only define label sets that cover eve…

cs.NE2019

The State and Future of Genetic Improvement

William B. Langdon, Westley Weimer, Christopher Timperley +9

We report the discussion session at the sixth international Genetic Improvement workshop, GI-2019 @ ICSE, which was held as part of the 41st ACM/IEEE International Conference on So…