5 papers
The Future of NLP may not be at NLP Conferences: Scholarly Migration Patterns in Natural Language Processing
David Jurgens
Natural Language Processing (NLP) has traditionally been published in its core disciplinary venues like ACL. However, advances in Large Language Models (LLMs) has led to a blurring…
The Call for Socially Aware Language Technologies
Diyi Yang, Dirk Hovy, David Jurgens +1
Language technologies have made enormous progress, especially with the introduction of large language models (LLMs). On traditional tasks such as machine translation and sentiment…
Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs
Huaman Sun, Jiaxin Pei, Minje Choi +1
Human judgments are inherently subjective and are actively affected by personal traits such as gender and ethnicity. While Large Language Models (LLMs) are widely used to simulate…
The Role of Network and Identity in the Diffusion of Hashtags
Aparna Ananthasubramaniam, Yufei 'Louise' Zhu, David Jurgens +1
The diffusion of culture online is theorized to be influenced by many interacting social factors (e.g., network and identity). However, most existing computational cascade models c…
When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran +2
Prompting serves as the major way humans interact with Large Language Models (LLM). Commercial AI systems commonly define the role of the LLM in system prompts. For example, ChatGP…