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Jiaxin Pei
2020 – today
- 2025
- [i21]Jiaxin Pei, Lulin Yang, Lingfei Wu:
Hidden Division of Labor in Scientific Teams Revealed Through 1.6 Million LaTeX Files. CoRR abs/2502.07263 (2025) - [i20]Matthias Orlikowski, Jiaxin Pei, Paul Röttger, Philipp Cimiano, David Jurgens, Dirk Hovy:
Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions. CoRR abs/2502.20897 (2025) - 2024
- [c13]Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran, Moontae Lee, David Jurgens:
When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models. EMNLP (Findings) 2024: 15126-15154 - [c12]Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang, Daniel Preotiuc-Pietro, Xinyu Hua:
Modeling and Detecting Company Risks from News. NAACL (Industry Track) 2024: 63-72 - [i19]Xianzhe Fan, Qing Xiao, Xuhui Zhou, Jiaxin Pei, Maarten Sap, Zhicong Lu, Hong Shen:
User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions. CoRR abs/2409.00862 (2024) - [i18]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:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - 2023
- [c11]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: 11370-11403 - [c10]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: 12590-12607 - [c9]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: 2235-2246 - [i17]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 abs/2305.14938 (2023) - [i16]Jiaxin Pei, David Jurgens:
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset. CoRR abs/2306.06826 (2023) - [i15]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 abs/2307.02758 (2023) - [i14]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 abs/2310.14757 (2023) - [i13]Huaman Sun, Jiaxin Pei, Minje Choi, David Jurgens:
Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks. CoRR abs/2311.09730 (2023) - [i12]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 abs/2311.10054 (2023) - 2022
- [c8]Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Apostolos Dedeloudis, Jackson Sargent, David Jurgens
POTATO: The Portable Text Annotation Tool. EMNLP (Demos) 2022: 327-337 - [c7]Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein:
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. EMNLP 2022: 1783-1807 - [i11]Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri:
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. CoRR abs/2210.01108 (2022) - [i10]Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein:
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. CoRR abs/2210.13001 (2022) - [i9]Kyrie 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 abs/2211.14358 (2022) - [i8]Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens:
POTATO: The Portable Text Annotation Tool. CoRR abs/2212.08620 (2022) - 2021
- [c6]Jiaxin Pei, David Jurgens:
Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. EMNLP (1) 2021: 9959-10011 - [i7]Jiaxin Pei, David Jurgens:
Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. CoRR abs/2109.14776 (2021) - 2020
- [c5]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: 253-262 - [c4]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: 3586-3596 - [c3]Jiaxin Pei, David Jurgens:
Quantifying Intimacy in Language. EMNLP (1) 2020: 5307-5326 - [i6]Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li:
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. CoRR abs/2004.12302 (2020) - [i5]Jiaxin Pei, David Jurgens:
Quantifying Intimacy in Language. CoRR abs/2011.03020 (2020)
2010 – 2019
- 2019
- [c2]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: 3391-3397 - [i4]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 abs/1901.07005 (2019) - [i3]Jiaxin Pei, Aixin Sun, Chenliang Li:
Targeted Sentiment Analysis: A Data-Driven Categorization. CoRR abs/1905.03423 (2019) - [i2]Qichen Li, Jiaxin Pei, Jianding Zhang, Bo Han:
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction. CoRR abs/1910.05150 (2019) - [i1]Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li:
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. CoRR abs/1911.03882 (2019) - 2018
- [c1]Jiaxin Pei, Chenliang Li:
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. EMNLP 2018: 745-750
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last updated on 2025-03-24 00:29 CET by the dblp team
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