activity
20182021
most citedThe GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

52 citations · 127 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 1 cited

Local Knowledge Powered Conversational Agents

Sashank Santhanam, Wei Ping, Raul Puri +3

State-of-the-art conversational agents have advanced significantly in conjunction with the use of large transformer-based language models. However, even with these advancements, co…

cs.CL2020

Learning to Plan and Realize Separately for Open-Ended Dialogue Systems

Sashank Santhanam, Zhuo Cheng, Brodie Mather +7

Achieving true human-like ability to conduct a conversation remains an elusive goal for open-ended dialogue systems. We posit this is because extant approaches towards natural lang…

cs.CL2020★ 5 cited

The Panacea Threat Intelligence and Active Defense Platform

Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer +13

We describe Panacea, a system that supports natural language processing (NLP) components for active defenses against social engineering attacks. We deploy a pipeline of human langu…

cs.CL2020★ 1 cited

Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation

Archna Bhatia, Adam Dalton, Brodie Mather +5

We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation. We leverage the cent…

cs.CL2020★ 1 cited

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents

Sashank Santhanam, Alireza Karduni, Samira Shaikh

Humans quite frequently interact with conversational agents. The rapid advancement in generative language modeling through neural networks has helped advance the creation of intell…