Yijia Shao

According to our database, Yijia Shao authored at least 14 papers between 2022 and 2024.

Collaborative distances:

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

2024

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman

CoRR, 2024

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models.

Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, Monica S. Lam

CoRR, 2024

2023

Class Incremental Learning via Likelihood Ratio Based Task Prediction.

Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu

CoRR, 2023

Continual Learning of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

CoRR, 2023

Continual Pre-training of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Class-Incremental Learning based on Label Generation.

Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks.

Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang

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

ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems.

Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training.

Hongwei Han, Jialiang Xu, Mengyu Zhou, Yijia Shao, Shi Han, Dongmei Zhang

CoRR, 2022

Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information.

Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang

CoRR, 2022

CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection.

Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information.

Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adapting a Language Model While Preserving its General Knowledge.

Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Training of Language Models for Few-Shot Learning.

Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022