Jiaxin Pei

Working Papers

30 Million Canvas Records Reveal Widespread Sequential Bias and System-induced Surname Initial Disparity in Grading.
*Jiaxin Pei, *Zhihan (Helen) Wang, Jun Li
Major Revision at Management Science
Working paper available on SSRN
Best Student Paper Award🏆at EAAMO
Past presentations: CIST 2023, INFORMS 2023, EAAMO 2023
Media Coverage: Interview with Michigan News | Daily Mail | ABC News | Newsweek | Fox News

Political-LLM: Large Language Models in Political Science
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
Arxiv | Website

User-Driven Value Alignment: Understanding Users’ Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions
Xianzhe Fan, Qing Xiao, Xuhui Zhou, Jiaxin Pei, Maarten Sap, Zhicong Lu, Hong Shen
Arxiv

Published Papers

Modeling and Detecting Company Risks from News
Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang, Daniel Preotiuc-Pietro, Xinyu Hua
The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'24)
Paper | Blog

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
†Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran, Moontae Lee and David Jurgens (†Mentored student)
Findings of the 2024 Conference on Empirical Methods on Natural Language Processing (EMNLP'24 findings)
Paper | Github
Media Coverage: The Markup

Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks
†Huaman Sun, Jiaxin Pei, Minje Choi and David Jurgens (†Mentored student)
Paper | Github

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
*Jiaxin Pei, *Minje Choi, Sagar Kumar, Chang Shu and David Jurgens (*Equal Contributions)
The 2023 Conference on Empirical Methods on Natural Language Processing (EMNLP'23)
Paper | Dataset | Github

SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa-Anke, Jiaxin Pei, Jose Camacho-Collados
Findings of the 2023 Conference on Empirical Methods on Natural Language Processing (EMNLP'23 findings)
Paper | Dataset

When Do Annotator Demographics Matter? Measuring The Influence of Annotator Demographics with the POPQUORN Dataset
Jiaxin Pei and David Jurgens
The 17th Linguistic Annotation Workshop (LAW-XVII) @ACL 2023
Paper | Dataset | Annotation interface
Media Coverage: Michigan News | Prolific | Digit News | Today Headline

Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics
*Aparna Ananthasubramaniam, *Hong Chen, *Jason Yan, *Kenan Alkiek, *Jiaxin Pei, *Agrima Seth, *Lavinia Dunagan, *Minje Choi, *Benjamin Litterer and David Jurgens (*Equal Contributions)
The 1st Workshop on Social Influence in Conversations (SICon) @ACL
Best Paper Award🏆
Paper | Github

SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis
Jiaxin Pei, Vítor Silva, Maarten Bos, Yozon Liu, Leonardo Neves, David Jurgens and Francesco Barbieri
The 17th International Workshop on Semantic Evaluation (SemEval'23)
Website | Paper

🥔POTATO: The Portable Text Annotation Tool
Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis and David Jurgens
The 2022 Conference on Empirical Methods on Natural Language Processing (EMNLP'22 demo)
Best Demo Paper Award🏆 at HCOMP 2024
Paper | Github | Website

Modeling Information Change in Science Communication with Semantically Matched Paraphrases
*Jiaxin Pei, *Dustin Wright, David Jurgens and Isabelle Augenstein (*Equal Contributions)
The 2022 Conference on Empirical Methods on Natural Language Processing (EMNLP'22)
Honorable Mention Award🏆 at IC2S2 2023
Paper | Github | Dataset | pip install | Annotation interface

Quantifying Intimacy in Language
Jiaxin Pei and David Jurgens
The 2020 Conference on Empirical Methods on Natural Language Processing (EMNLP'20)
Paper | Data | Model | pip | demo

MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
*Jiaxin Pei, *Canwen Xu, Hongtao Wu, Yiyu Liu and Chenliang Li (*Equal Contributions)
The 58th Annual Meeting of the Association for Computational Linguistics (ACL'20)
Paper | Data | Model

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han and Chenliang Li
The 58th Annual Meeting of the Association for Computational Linguistics (ACL'20)
Paper | Model

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets with Relevant Information
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
The Web Conference 2019 (WWW'19)
Paper

S2SPMN:A Simple and Effective Framework for Response Generation with Relevant Information
Jiaxin Pei and Chenliang Li
The 2018 Conference on Empirical Methods on Natural Language Processing (EMNLP'18)
Paper

Preprints

Targeted Sentiment Analysis: A Data-Driven Categorization
Jiaxin Pei, Aixin Sun, Chenliang Li
Arxiv Link

SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction
Qichen Li, Jiaxin Pei, Jianding Zhang, Bo Han
Arxiv Link

Jiaxin Pei

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