Siyang Liu

According to our database, Siyang Liu authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Generation Gap: Exploring Age Bias in Large Language Models.

Siyang Liu, Trish Maturi, Siqi Shen, Rada Mihalcea

CoRR, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.

Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Juanzi Li, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang

CoRR, 2024

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models.

Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.

Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Enhancing Long-form Text Generation Efficacy with Task-adaptive Tokenization.

Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea

CoRR, 2023

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms.

Naihao Deng, Yikai Liu, Mingye Chen, Winston Wu, Siyang Liu, Yulong Chen, Yue Zhang, Rada Mihalcea

CoRR, 2023

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.

Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

CoRR, 2023

You Are What You Annotate: Towards Better Models through Annotator Representations.

Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond.

Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Rethinking and Refining the Distinct Metric.

Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support.

Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Towards Emotional Support Dialog Systems.

Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge.

Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis.

Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang

CoRR, 2019