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Jiaxin Pei
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Conference and Workshop Papers
- 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 - 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 - 2021
- [c6]Jiaxin Pei, David Jurgens:
Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. EMNLP (1) 2021: 9959-10011 - 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 - 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 - 2018
- [c1]Jiaxin Pei, Chenliang Li:
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. EMNLP 2018: 745-750
Informal and Other Publications
- 2023
- [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
- [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]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
- [i7]Jiaxin Pei, David Jurgens:
Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. CoRR abs/2109.14776 (2021) - 2020
- [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) - 2019
- [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)
Coauthor Index
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