462 citations · 1.4k across the 10 of their papers we have counts for
13 papers
WhoSaidIt: Human-LLM Collaborative Annotation for Text-Based Multilingual Speaker-Attribute Classification
Lingyu Gao, Will Monroe, David Smith +2
Annotating speaker attributes from text is inherently ambiguous, particularly in multilingual settings where demographic and social cues are implicit and culturally variable. We pr…
IcoRating: A Deep-Learning System for Scam ICO Identification
Shuqing Bian, Zhenpeng Deng, Fei Li +9
Cryptocurrencies (or digital tokens, digital currencies, e.g., BTC, ETH, XRP, NEO) have been rapidly gaining ground in use, value, and understanding among the public, bringing asto…
Generating Bilingual Pragmatic Color References
Will Monroe, Jennifer Hu, Andrew Jong +1
Contextual influences on language often exhibit substantial cross-lingual regularities; for example, we are more verbose in situations that require finer distinctions. However, the…
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
Will Monroe, Robert X. D. Hawkins, Noah D. Goodman +1
We present a model of pragmatic referring expression interpretation in a grounded communication task (identifying colors from descriptions) that draws upon predictions from two rec…
Data Distillation for Controlling Specificity in Dialogue Generation
Jiwei Li, Will Monroe, Dan Jurafsky
People speak at different levels of specificity in different situations. Depending on their knowledge, interlocutors, mood, etc.} A conversational agent should have this ability an…
Learning to Decode for Future Success
Jiwei Li, Will Monroe, Dan Jurafsky
We introduce a simple, general strategy to manipulate the behavior of a neural decoder that enables it to generate outputs that have specific properties of interest (e.g., sequence…