activity
20172023
most citedOut of One, Many: Using Language Models to Simulate Human Samples

715 citations · 743 across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC2023★ 6 cited

A Tale of Two Cultures: Comparing Interpersonal Information Disclosure Norms on Twitter

Mainack Mondal, Anju Punuru, Tyng-Wen Scott Cheng +11

We present an exploration of cultural norms surrounding online disclosure of information about one's interpersonal relationships (such as information about family members, colleagu…

cs.LG2022★ 715 cited

Out of One, Many: Using Language Models to Simulate Human Samples

Lisa P. Argyle, Ethan C. Busby, Nancy Fulda +3

We propose and explore the possibility that language models can be studied as effective proxies for specific human sub-populations in social science research. Practical and researc…

cs.CL2022★ 2 cited

Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican

Nathaniel R. Robinson, Cameron J. Hogan, Nancy Fulda +1

Multilingual transfer techniques often improve low-resource machine translation (MT). Many of these techniques are applied without considering data characteristics. We show in the…

cs.CL2020★ 1 cited

Towards Neural Programming Interfaces

Zachary C. Brown, Nathaniel Robinson, David Wingate +1

It is notoriously difficult to control the behavior of artificial neural networks such as generative neural language models. We recast the problem of controlling natural language g…

cs.CR2020

Machine Learning for Offensive Security: Sandbox Classification Using Decision Trees and Artificial Neural Networks

Will Pearce, Nick Landers, Nancy Fulda

The merits of machine learning in information security have primarily focused on bolstering defenses. However, machine learning (ML) techniques are not reserved for organizations w…

cs.CL2018★ 1 cited

Embedding Grammars

David Wingate, William Myers, Nancy Fulda +1

Classic grammars and regular expressions can be used for a variety of purposes, including parsing, intent detection, and matching. However, the comparisons are performed at a struc…

cs.AI2017★ 18 cited

What can you do with a rock? Affordance extraction via word embeddings

Nancy Fulda, Daniel Ricks, Ben Murdoch +1

Autonomous agents must often detect affordances: the set of behaviors enabled by a situation. Affordance detection is particularly helpful in domains with large action spaces, allo…