Guangsheng Bao

Orcid: 0000-0003-3815-3988

According to our database1, Guangsheng Bao authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
NovelQA: A Benchmark for Long-Range Novel Question Answering.
CoRR, 2024

LLMs with Chain-of-Thought Are Non-Causal Reasoners.
CoRR, 2024

2023
A General Contextualized Rewriting Framework for Text Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Supervised Knowledge Makes Large Language Models Better In-context Learners.
CoRR, 2023

Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.
CoRR, 2023

Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities.
CoRR, 2023

GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization.
CoRR, 2023

Token-level Fitting Issues of Seq2seq Models.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Non-Autoregressive Document-Level Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Target-Side Augmentation for Document-Level Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021
G-Transformer for Document-Level Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contextualized Rewriting for Text Summarization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
What Have We Achieved on Text Summarization?
CoRR, 2020

What Have We Achieved on Text Summarization?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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