Xiaotao Gu
According to our database1,
Xiaotao Gu
authored at least 36 papers
between 2016 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2025
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models.
CoRR, January, 2025
2024
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.
CoRR, 2024
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE Trans. Knowl. Data Eng., September, 2023
CoRR, 2023
2022
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast.
CoRR, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016