Jiaxin Pei

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 28

Top Topics

Top Venues

Publications

Jiaxin Pei, David Jurgens
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset. CoRR (2023)
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. EMNLP (Findings) (2023)
Huaman Sun, Jiaxin Pei, Minje Choi, David Jurgens
Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks. CoRR (2023)
Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, David Jurgens
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark. EMNLP (2023)
Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, David Jurgens
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark. CoRR (2023)
Aparna Ananthasubramaniam, Hong Chen, Jason Yan, Kenan Alkiek, Jiaxin Pei, Agrima Seth, Lavinia Dunagan, Minje Choi, Benjamin Litterer, David Jurgens
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics. CoRR (2023)
Mingqian Zheng, Jiaxin Pei, David Jurgens
Is "A Helpful Assistant" the Best Role for Large Language Models? A Systematic Evaluation of Social Roles in System Prompts. CoRR (2023)
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. CoRR (2023)
Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL (2023)
Zhixuan Zhou, Jiao Sun, Jiaxin Pei, Nanyun Peng, Jinjun Xiong
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale. CoRR (2022)
Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens
POTATO: The Portable Text Annotation Tool. CoRR (2022)
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. EMNLP (2022)
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. CoRR (2022)
Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. CoRR (2022)
Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Apostolos Dedeloudis, Jackson Sargent, David Jurgens
POTATO: The Portable Text Annotation Tool. EMNLP (Demos) (2022)
Jiaxin Pei, David Jurgens
Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. EMNLP (1) (2021)
Jiaxin Pei, David Jurgens
Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. CoRR (2021)
Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, Chenliang Li
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. ACL (2020)
Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. CoRR (2020)
Jiaxin Pei, David Jurgens
Quantifying Intimacy in Language. CoRR (2020)
Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. ACL (2020)
Jiaxin Pei, David Jurgens
Quantifying Intimacy in Language. EMNLP (1) (2020)
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. CoRR (2019)
Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. CoRR (2019)
Qichen Li, Jiaxin Pei, Jianding Zhang, Bo Han
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction. CoRR (2019)
Jiaxin Pei, Aixin Sun, Chenliang Li
Targeted Sentiment Analysis: A Data-Driven Categorization. CoRR (2019)
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. WWW (2019)
Jiaxin Pei, Chenliang Li
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. EMNLP (2018)