Search Results for author: Jinsheng Pan

Found 5 papers, 2 papers with code

GPT-4V(ision) as A Social Media Analysis Engine

1 code implementation13 Nov 2023 Hanjia Lyu, Jinfa Huang, Daoan Zhang, Yongsheng Yu, Xinyi Mou, Jinsheng Pan, Zhengyuan Yang, Zhongyu Wei, Jiebo Luo

Our investigation begins with a preliminary quantitative analysis for each task using existing benchmark datasets, followed by a careful review of the results and a selection of qualitative samples that illustrate GPT-4V's potential in understanding multimodal social media content.

Hallucination Hate Speech Detection +1

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets

no code implementations18 Sep 2023 Jinsheng Pan, Zichen Wang, Weihong Qi, Hanjia Lyu, Jiebo Luo

Understanding the framing of political issues is of paramount importance as it significantly shapes how individuals perceive, interpret, and engage with these matters.

Decision Making

NEOLAF, an LLM-powered neural-symbolic cognitive architecture

no code implementations8 Aug 2023 Richard Jiarui Tong, Cassie Chen Cao, Timothy Xueqian Lee, Guodong Zhao, Ray Wan, FeiYue Wang, Xiangen Hu, Robin Schmucker, Jinsheng Pan, Julian Quevedo, Yu Lu

This paper presents the Never Ending Open Learning Adaptive Framework (NEOLAF), an integrated neural-symbolic cognitive architecture that models and constructs intelligent agents.

Incremental Learning Math

Bias or Diversity? Unraveling Fine-Grained Thematic Discrepancy in U.S. News Headlines

no code implementations28 Mar 2023 Jinsheng Pan, Weihong Qi, Zichen Wang, Hanjia Lyu, Jiebo Luo

There is a broad consensus that news media outlets incorporate ideological biases in their news articles.


Computational Assessment of Hyperpartisanship in News Titles

1 code implementation16 Jan 2023 Hanjia Lyu, Jinsheng Pan, Zichen Wang, Jiebo Luo

We first adopt a human-guided machine learning framework to develop a new dataset for hyperpartisan news title detection with 2, 200 manually labeled and 1. 8 million machine-labeled titles that were posted from 2014 to the present by nine representative media organizations across three media bias groups - Left, Central, and Right in an active learning manner.

Active Learning Language Modelling

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