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Yijia Shao
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2020 – today
- 2024
- [c9]Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. ICLR 2024 - [i12]Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, Monica S. Lam:
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models. CoRR abs/2402.14207 (2024) - [i11]Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman:
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking. CoRR abs/2403.09629 (2024) - [i10]Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang:
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. CoRR abs/2406.00888 (2024) - 2023
- [c8]Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. ACL (2) 2023: 1263-1276 - [c7]Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng:
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems. ACL (1) 2023: 4398-4419 - [c6]Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang:
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks. ACL (Findings) 2023: 9471-9492 - [c5]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Pre-training of Language Models. ICLR 2023 - [i9]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. CoRR abs/2301.08986 (2023) - [i8]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Learning of Language Models. CoRR abs/2302.03241 (2023) - [i7]Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng:
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems. CoRR abs/2305.07797 (2023) - [i6]Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. CoRR abs/2306.12619 (2023) - [i5]Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. CoRR abs/2309.15048 (2023) - 2022
- [c4]Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang:
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. EMNLP 2022: 8133-8149 - [c3]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. EMNLP 2022: 10177-10188 - [c2]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. EMNLP 2022: 10205-10216 - [c1]Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu:
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. ECML/PKDD (4) 2022: 502-518 - [i4]Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang:
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information. CoRR abs/2209.00946 (2022) - [i3]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. CoRR abs/2210.05549 (2022) - [i2]Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang:
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. CoRR abs/2211.05284 (2022) - [i1]Hongwei Han, Jialiang Xu, Mengyu Zhou, Yijia Shao, Shi Han, Dongmei Zhang:
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training. CoRR abs/2212.02691 (2022)
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last updated on 2024-08-08 19:16 CEST by the dblp team
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