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Guangsheng Bao
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2020 – today
- 2024
- [c9]Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang:
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. ICLR 2024 - [c8]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR 2024 - [i12]Guangsheng Bao, Hongbo Zhang, Linyi Yang
, Cunxiang Wang, Yue Zhang:
LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR abs/2402.16048 (2024) - [i11]Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang:
NovelQA: A Benchmark for Long-Range Novel Question Answering. CoRR abs/2403.12766 (2024) - 2023
- [j1]Guangsheng Bao
A General Contextualized Rewriting Framework for Text Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1624-1635 (2023) - [c7]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Target-Side Augmentation for Document-Level Machine Translation. ACL (1) 2023: 10725-10742 - [c6]Guangsheng Bao, Zebin Ou, Yue Zhang:
GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization. EMNLP 2023: 831-842 - [c5]Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang:
Non-Autoregressive Document-Level Machine Translation. EMNLP (Findings) 2023: 14791-14803 - [c4]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Token-level Fitting Issues of Seq2seq Models. RepL4NLP@ACL 2023: 276-288 - [i10]Guangsheng Bao, Zebin Ou, Yue Zhang:
GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization. CoRR abs/2304.03548 (2023) - [i9]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Token-level Fitting Issues of Seq2seq Models. CoRR abs/2305.04493 (2023) - [i8]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Target-Side Augmentation for Document-Level Machine Translation. CoRR abs/2305.04505 (2023) - [i7]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities. CoRR abs/2305.12878 (2023) - [i6]Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. CoRR abs/2310.05130 (2023) - [i5]Linyi Yang
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR abs/2312.15918 (2023) - 2022
- [i4]Guangsheng Bao, Yue Zhang:
A General Contextualized Rewriting Framework for Text Summarization. CoRR abs/2207.05948 (2022) - 2021
- [c3]Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. AAAI 2021: 12544-12553 - [c2]Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo:
G-Transformer for Document-Level Machine Translation. ACL/IJCNLP (1) 2021: 3442-3455 - [i3]Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. CoRR abs/2102.00385 (2021) - [i2]Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo:
G-Transformer for Document-level Machine Translation. CoRR abs/2105.14761 (2021) - 2020
- [c1]Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang:
What Have We Achieved on Text Summarization? EMNLP (1) 2020: 446-469 - [i1]Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang:
What Have We Achieved on Text Summarization? CoRR abs/2010.04529 (2020)
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last updated on 2024-10-07 22:05 CEST by the dblp team
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