23 citations · 31 across the 7 of their papers we have counts for
6 papers · 1 filter
LKValues: Aligning Large Language Models with Sri Lankan Societal Values
Nethmi Muthugala, Supryadi, Surangika Ranathunga +7
Value alignment of Large Language Models (LLMs) has been shown to be culturally biased toward Western norms. This results in the mishandling of local values in multilingual societi…
Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media
Scott Friedman, Ruta Wheelock, Sonja Schmer-Galunder +6
The language in online platforms, influence operations, and political rhetoric frequently directs a mix of pro-social sentiment (e.g., advocacy, helpfulness, compassion) and anti-s…
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis
Scott Friedman, Sonja Schmer-Galunder, Anthony Chen +1
Modern models for common NLP tasks often employ machine learning techniques and train on journalistic, social media, or other culturally-derived text. These have recently been scru…
Bottom-Up and Top-Down Analysis of Values, Agendas, and Observations in Corpora and LLMs
Scott E. Friedman, Noam Benkler, Drisana Mosaphir +8
Large language models (LLMs) generate diverse, situated, persuasive texts from a plurality of potential perspectives, influenced heavily by their prompts and training data. As part…
Soft Measures for Extracting Causal Collective Intelligence
Maryam Berijanian, Spencer Dork, Kuldeep Singh +6
Understanding and modeling collective intelligence is essential for addressing complex social systems. Directed graphs called fuzzy cognitive maps (FCMs) offer a powerful tool for…
Assessing LLMs for Moral Value Pluralism
Noam Benkler, Drisana Mosaphir, Scott Friedman +2
The fields of AI current lacks methods to quantitatively assess and potentially alter the moral values inherent in the output of large language models (LLMs). However, decades of s…