Guangsheng Bao

According to our database, Guangsheng Bao authored at least 28 papers between 2020 and 2026.

Collaborative distances:

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

2026

FAAST: Forward-Only Associative Learning via Closed-Form Fast Weights for Test-Time Supervised Adaptation.

Guangsheng Bao, Hongbo Zhang, Han Cui, Ke Sun, Yanbin Zhao, Juncai He, Yue Zhang

CoRR, May, 2026

Detecting RLVR Training Data via Structural Convergence of Reasoning.

Hongbo Zhang, Yue Yang, Jianhao Yan, Guangsheng Bao, Yue Zhang, Yue Zhang

CoRR, February, 2026

Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection.

Ke Sun, Guangsheng Bao, Han Cui, Yue Zhang

CoRR, February, 2026

When AI Settles Down: Late-Stage Stability as a Signature of AI-Generated Text Detection.

Ke Sun, Guangsheng Bao, Han Cui, Yue Zhang

CoRR, January, 2026

UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge.

Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Correlation or Causation: Analyzing the Causal Structures of LLM and LRM Reasoning Process.

Zhizhang Fu, Guangsheng Bao, Hongbo Zhang, Chenkai Hu, Yue Zhang

CoRR, September, 2025

AI-Generated Text is Non-Stationary: Detection via Temporal Tomography.

Alva West, Yixuan Weng, Minjun Zhu, Luodan Zhang, Zhen Lin, Guangsheng Bao, Yue Zhang

CoRR, August, 2025

Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text.

Guangsheng Bao, Lihua Rong, Yanbin Zhao, Qiji Zhou, Yue Zhang

CoRR, March, 2025

CycleResearcher: Improving Automated Research via Automated Review.

Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens.

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection.

Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values.

Hongbo Zhang, Han Cui, Guangsheng Bao, Linyi Yang, Jun Wang, Yue Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

How Likely Do LLMs with CoT Mimic Human Reasoning?

Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, Linyi Yang, Yue Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation.

Qiji Zhou, Yifan Gong, Guangsheng Bao, Hongjie Qiu, Jinqiang Li, Xiangrong Zhu, Huajian Zhang, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang

CoRR, 2024

LLMs with Chain-of-Thought Are Non-Causal Reasoners.

Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang

CoRR, 2024

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

Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A General Contextualized Rewriting Framework for Text Summarization.

Guangsheng Bao, Yue Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

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

Guangsheng Bao, Zhiyang Teng, Yue Zhang

CoRR, 2023

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

Guangsheng Bao, Zebin Ou, Yue Zhang

CoRR, 2023

Token-level Fitting Issues of Seq2seq Models.

Guangsheng Bao, Zhiyang Teng, Yue Zhang

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Non-Autoregressive Document-Level Machine Translation.

Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang

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

GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization.

Guangsheng Bao, Zebin Ou, Yue Zhang

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

Target-Side Augmentation for Document-Level Machine Translation.

Guangsheng Bao, Zhiyang Teng, Yue Zhang

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.

Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo

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.

Guangsheng Bao, Yue Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

What Have We Achieved on Text Summarization?

Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang

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