Jiaxin Pei - RankMe

55 papers A* 8Journal 36Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AI Agents and the Future of Deliberation: Designing Human-AI Collaboration for Democratic Dialogue. CHI Extended Abstracts Weiyu Zhang, Simon Tangi Perrault, ShunYi Yeo, Jiaxin Pei, Anna De Liddo, Francesco Veri, Maurice Flechtner, Horacio Saggion
2026	J	`jnl`	CooperBench: Why Coding Agents Cannot be Your Teammates Yet. CoRR Arpandeep Khatua, Hao Zhu, Peter Tran, Arya Prabhudesai, Frederic Sadrieh, Johann K. Lieberwirth, Xinkai Yu, Yicheng Fu, Michael J. Ryan, Jiaxin Pei, Diyi Yang
2026	J	`jnl`	MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks. CoRR Zexue He, Yu Wang, Churan Zhi, Yuanzhe Hu, Tzu-Ping Chen, Lang Yin, Ze Chen, Tong Arthur Wu, Siru Ouyang, Zihan Wang, Jiaxin Pei, Julian J. McAuley, Yejin Choi, Alex Pentland
2026	J	`jnl`	Permission Manifests for Web Agents. CoRR Samuele Marro, Alan Chan, Xinxing Ren, Lewis Hammond, Jesse Wright, Gurjyot Wanga, Tiziano Piccardi, Nuno Campos, Tobin South, Jialin Yu, Sunando Sengupta, Eric Sommerlade, Alex Pentland, Philip Torr, Jiaxin Pei
2025	J	`jnl`	Benchmarking Overton Pluralism in LLMs. CoRR Elinor Poole-Dayan, Jiayi Wu, Taylor Sorensen, Jiaxin Pei, Michiel A. Bakker
2025	—	`conf`	Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions. ACL (1) Matthias Orlikowski, Jiaxin Pei, Paul Röttger, Philipp Cimiano, David Jurgens, Dirk Hovy
2025	J	`jnl`	Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions. CoRR Matthias Orlikowski, Jiaxin Pei, Paul Röttger, Philipp Cimiano, David Jurgens, Dirk Hovy
2025	J	`jnl`	Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs. CoRR Shenzhe Zhu, Shu Yang, Michiel A. Bakker, Alex Pentland, Jiaxin Pei
2025	—	`conf`	Causally Modeling the Linguistic and Social Factors that Predict Email Response. NAACL (Long Papers) Yinuo Xu, Hong Chen, Sushrita Rakshit, Aparna Ananthasubramaniam, Omkar Yadav, Mingqian Zheng, Michael Jiang, Lechen Zhang, Bowen Yi, Kenan Alkiek, Abraham Israeli, Bangzhao Shu, Hua Shen, Jiaxin Pei, Haotian Zhang, Miriam Schirmer, David Jurgens
2025	J	`jnl`	Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce. CoRR Yijia Shao, Humishka Zope, Yucheng Jiang, Jiaxin Pei, David Nguyen, Erik Brynjolfsson, Diyi Yang
2025	J	`jnl`	Hidden Division of Labor in Scientific Teams Revealed Through 1.6 Million LaTeX Files. CoRR Jiaxin Pei, Lulin Yang, Lingfei Wu
2025	J	`jnl`	Identity Management for Agentic AI: The new frontier of authorization, authentication, and security for an AI agent world. CoRR Tobin South, Subramanya Nagabhushanaradhya, Ayesha Dissanayaka, Sarah Cecchetti, George Fletcher, Victor Lu, Aldo Pietropaolo, Dean H. Saxe, Jeff Lombardo, Abhishek Maligehalli Shivalingaiah, Stan Bounev, Alex Keisner, Andor Kesselman, Zack Proser, Ginny Fahs, Andrew Bunyea, Ben Moskowitz, Atul Tulshibagwale, Dazza Greenwood, Jiaxin Pei, Alex Pentland
2025	J	`jnl`	Modeling Public Perceptions of Science in Media. CoRR Jiaxin Pei, Dustin Wright, Isabelle Augenstein, David Jurgens
2025	J	`jnl`	Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News. CoRR Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang, Daniel Preotiuc-Pietro, Xinyu Hua
2025	J	`jnl`	Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences. CoRR Jing Yang, Qiyao Wei, Jiaxin Pei
2025	J	`jnl`	ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents. CoRR Zhenyu Zhang, Tianyi Chen, Weiran Xu, Alex Pentland, Jiaxin Pei
2025	—	`conf`	Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs. NAACL (Short Papers) Huaman Sun, Jiaxin Pei, Minje Choi, David Jurgens
2025	J	`jnl`	The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets. CoRR Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei
2025	J	`jnl`	The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities. CoRR Harsh Nishant Lalai, Raj Sanjay Shah, Jiaxin Pei, Sashank Varma, Yi-Chia Wang, Ali Emami
2025	A*	`conf`	User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions. CHI Xianzhe Fan, Qing Xiao, Xuhui Zhou, Jiaxin Pei, Maarten Sap, Zhicong Lu, Hong Shen
2025	A*	`conf`	Who Reaps All the Superchats? A Large-Scale Analysis of Income Inequality in Virtual YouTuber Livestreaming. CHI Ruijing Zhao, Brian Diep, Jiaxin Pei, Dongwook Yoon, David Jurgens, Jian Zhu
2025	J	`jnl`	Who Reaps All the Superchats? A Large-Scale Analysis of Income Inequality in Virtual YouTuber Livestreaming. CoRR Ruijing Zhao, Brian Diep, Jiaxin Pei, Dongwook Yoon, David Jurgens, Jian Zhu
2025	J	`jnl`	Writing Patterns Reveal a Hidden Division of Labor in Scientific Teams. CoRR Lulin Yang, Jiaxin Pei, Lingfei Wu
2024	—	`conf`	Modeling and Detecting Company Risks from News. NAACL (Industry Track) Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang, Daniel Preotiuc-Pietro, Xinyu Hua
2024	J	`jnl`	Political-LLM: Large Language Models in Political Science. CoRR 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 A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024	J	`jnl`	User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions. CoRR Xianzhe Fan, Qing Xiao, Xuhui Zhou, Jiaxin Pei, Maarten Sap, Zhicong Lu, Hong Shen
2024	—	`conf`	When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models. EMNLP (Findings) Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran, Moontae Lee, David Jurgens
2023	J	`jnl`	Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks. CoRR Huaman Sun, Jiaxin Pei, Minje Choi, David Jurgens
2023	A*	`conf`	Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark. EMNLP Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, David Jurgens
2023	J	`jnl`	Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark. CoRR Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, David Jurgens
2023	J	`jnl`	Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics. CoRR Aparna Ananthasubramaniam, Hong Chen, Jason Yan, Kenan Alkiek, Jiaxin Pei, Agrima Seth, Lavinia Dunagan, Minje Choi, Benjamin Litterer, David Jurgens
2023	J	`jnl`	Is "A Helpful Assistant" the Best Role for Large Language Models? A Systematic Evaluation of Social Roles in System Prompts. CoRR Mingqian Zheng, Jiaxin Pei, David Jurgens
2023	—	`conf`	SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
2023	—	`conf`	SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. EMNLP (Findings) Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
2023	J	`jnl`	SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. CoRR Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
2023	J	`jnl`	When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset. CoRR Jiaxin Pei, David Jurgens
2022	J	`jnl`	A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale. CoRR Kyrie Zhixuan Zhou, Jiao Sun, Jiaxin Pei, Nanyun Peng, Jinjun Xiong
2022	A*	`conf`	Modeling Information Change in Science Communication with Semantically Matched Paraphrases. EMNLP Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
2022	J	`jnl`	Modeling Information Change in Science Communication with Semantically Matched Paraphrases. CoRR Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
2022	—	`conf`	POTATO: The Portable Text Annotation Tool. EMNLP (Demos) Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Apostolos Dedeloudis, Jackson Sargent, David Jurgens
2022	J	`jnl`	POTATO: The Portable Text Annotation Tool. CoRR Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens
2022	J	`jnl`	SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. CoRR Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
2021	—	`conf`	Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. EMNLP (1) Jiaxin Pei, David Jurgens
2021	J	`jnl`	Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. CoRR Jiaxin Pei, David Jurgens
2020	A*	`conf`	MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. ACL Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
2020	J	`jnl`	MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. CoRR Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
2020	A*	`conf`	Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. ACL Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, Chenliang Li
2020	—	`conf`	Quantifying Intimacy in Language. EMNLP (1) Jiaxin Pei, David Jurgens
2020	J	`jnl`	Quantifying Intimacy in Language. CoRR Jiaxin Pei, David Jurgens
2019	A*	`conf`	DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. WWW Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
2019	J	`jnl`	DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. CoRR Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
2019	J	`jnl`	Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. CoRR Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li
2019	J	`jnl`	SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction. CoRR Qichen Li, Jiaxin Pei, Jianding Zhang, Bo Han
2019	J	`jnl`	Targeted Sentiment Analysis: A Data-Driven Categorization. CoRR Jiaxin Pei, Aixin Sun, Chenliang Li
2018	A*	`conf`	S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. EMNLP Jiaxin Pei, Chenliang Li