Search Results for author: Sijia Yang

Found 10 papers, 1 papers with code

Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals

no code implementations10 Dec 2023 Zening Duan, Anqi Shao, Yicheng Hu, Heysung Lee, Xining Liao, Yoo Ji Suh, Jisoo Kim, Kai-Cheng Yang, Kaiping Chen, Sijia Yang

Using moral content in tweets as a case study, we illustrate the steps to construct the moral foundations vec-tionary, showcasing its ability to process texts missed by conventional dictionaries and word embedding methods and to produce measurements better aligned with crowdsourced human assessments.

Word Embeddings

The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents

no code implementations16 Nov 2023 Yun-Shiuan Chuang, Siddharth Suresh, Nikunj Harlalka, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers

Human groups are able to converge on more accurate beliefs through deliberation, even in the presence of polarization and partisan bias -- a phenomenon known as the "wisdom of partisan crowds."

Simulating Opinion Dynamics with Networks of LLM-based Agents

no code implementations16 Nov 2023 Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers

Accurately simulating human opinion dynamics is crucial for understanding a variety of societal phenomena, including polarization and the spread of misinformation.

Misinformation Prompt Engineering

Evolving Domain Adaptation of Pretrained Language Models for Text Classification

no code implementations16 Nov 2023 Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu

Adapting pre-trained language models (PLMs) for time-series text classification amidst evolving domain shifts (EDS) is critical for maintaining accuracy in applications like stance detection.

Domain Adaptation Stance Detection +3

Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial

no code implementations24 Sep 2023 Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang

Recently, with the rise of LLMs and their improved natural language understanding and reasoning capabilities, it has become feasible to model contexts using natural language and perform context reasoning by interacting with LLMs such as ChatGPT and GPT-4.

Natural Language Understanding Scheduling

Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI

no code implementations17 May 2023 Luhang Sun, Mian Wei, Yibing Sun, Yoo Ji Suh, Liwei Shen, Sijia Yang

Generative AI models like DALL-E 2 can interpret textual prompts and generate high-quality images exhibiting human creativity.

Benchmarking

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

no code implementations2 Jul 2021 Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang, Dejing Dou

Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares.

SecureGBM: Secure Multi-Party Gradient Boosting

no code implementations27 Nov 2019 Zhi Fengy, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Li-Ping Liu, Jun Huan

Our experiments using the real-world data showed that SecureGBM can well secure the communication and computation of LightGBM training and inference procedures for the both parties while only losing less than 3% AUC, using the same number of iterations for gradient boosting, on a wide range of benchmark datasets.

Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

3 code implementations ACL 2019 Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, Zhou Yu

Developing intelligent persuasive conversational agents to change people's opinions and actions for social good is the frontier in advancing the ethical development of automated dialogue systems.

Persuasion Strategies Sentence

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