April 4, 2024, 4:47 a.m. | Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard Zemel, Rahul Gupta

cs.CL updates on arXiv.org arxiv.org

arXiv:2311.04978v2 Announce Type: replace
Abstract: Large language models (LLMs) are known to generate biased responses where the opinions of certain groups and populations are underrepresented. Here, we present a novel approach to achieve controllable generation of specific viewpoints using LLMs, that can be leveraged to produce multiple perspectives and to reflect the diverse opinions. Moving beyond the traditional reliance on demographics like age, gender, or party affiliation, we introduce a data-driven notion of persona grounded in collaborative filtering, which is …

abstract arxiv cs.cl data data-driven generate language language models large language large language models llms multiple novel opinions personas perspectives responses type

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Associate Data Analyst

@ Gartner | Stamford - 56 Top Gallant

Ecologist III (Wetland Scientist III)

@ AECOM | Pittsburgh, PA, United States

Senior Data Analyst

@ Publicis Groupe | Bengaluru, India

Data Analyst

@ Delivery Hero | Hong Kong, Hong Kong

Senior Data Engineer

@ ChargePoint | Bengaluru, India