Jiaxin Pei
According to our database1,
Jiaxin Pei
authored at least 20 papers
between 2018 and 2023.
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Bibliography
2023
Is "A Helpful Assistant" the Best Role for Large Language Models? A Systematic Evaluation of Social Roles in System Prompts.
CoRR, 2023
Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks.
CoRR, 2023
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics.
CoRR, 2023
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset.
CoRR, 2023
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale.
CoRR, 2022
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Modeling Information Change in Science Communication with Semantically Matched Paraphrases.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders.
CoRR, 2019
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction.
CoRR, 2019
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets.
Proceedings of the World Wide Web Conference, 2019
2018
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018