Zhiyuan Zeng
Orcid: 0000-0002-3979-3322Affiliations:
- Fudan University, School of Computer Science, Shanghai, China
- Tianjin University, School of New Media and Communication, China (former)
According to our database1,
Zhiyuan Zeng
authored at least 15 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
CoRR, July, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.
CoRR, 2024
CoRR, 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Artif. Intell., 2022
2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021