Work

Mitigating Sycophancy in Large Language Models via Direct Preference Optimization

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825538

Authors: Azal Ahmad Khan, Sayan Alam, Xinran Wang, Ahmad Faraz Khan, Debanga Raj Neog, Ali Anwar

Institutions: University of Minnesota, Virginia Tech, Indian Institute of Technology Guwahati

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4406495567

FWCI: 2.304

Cites: 74

Cited by: 5

Related to: 10