J Tang: Researcher — Prolific Citations Library

Explore 2 peer-reviewed studies by J Tang in Reinforcement Learning from AI Feedback (RLAIF) and Safety and Utility of Open-domain Language Models (2022–2024). Discover research powered by Prolific's participant panel.

This page lists 2 peer-reviewed papers authored or co-authored by J Tang in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

HRLAIF: Improvements in helpfulness and harmlessness in open-domain reinforcement learning from ai feedback

Authors: A Li, Q Xiao, P Cao, J Tang, Y Yuan, Z Zhao

Year: 2024

Published in: arXiv preprint arXiv ..., 2024 - arxiv.org

Institution: Beijing University, Alibaba Group

Research Area: Reinforcement Learning from AI Feedback (RLAIF), Safety and Utility of Open-domain Language Models, Open Source LLM

Discipline: Artificial Intelligence

Citations: 12
Replication: How well do my results generalize now? The external validity of online privacy and security surveys

Authors: J Tang, E Birrell, A Lerner

Year: 2022

Published in: ... symposium on usable privacy and security ..., 2022 - usenix.org

Institution: University of California Berkeley, George Washington University, Stanford University

Research Area: Online privacy and security surveys, External validity, Replication studies, Human-Computer Interaction (HCI) in security

Discipline: Computer Science, Behavioral Science

Citations: 164