ResearchTrend.AI
Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions

Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions

Shiyao Ding
Takayuki Ito
    SyDa
ArXiv (abs)PDFHTML

Papers citing "Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions"

2 / 2 papers shown
Title
Estimating Contribution Quality in Online Deliberations Using a Large Language Model
Estimating Contribution Quality in Online Deliberations Using a Large Language Model
Lodewijk Gelauff
Mohak Goyal
Bhargav Dindukurthi
Ashish Goel
Alice Siu
80
0
0
21 Aug 2024
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Ming Li
Jiuhai Chen
Lichang Chen
Dinesh Manocha
147
21
0
16 Feb 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.