Xu, Ruochen

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment

Liu, Y., Iter, D., Xu, Y., Wang, S., Xu, R., & Zhu, C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 948

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Liu, Y., Iter, D., Xu, Y., Wang, S., Xu, R., & Zhu, C. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 948

Enhancing Factual Consistency of Abstractive Summarization

Zhu, C., Hinthorn, W., Xu, R., Zeng, Q., Zeng, M., Huang, X., & Jiang, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 127

CLIP-Event: Connecting Text and Images with Event Structures

Li, M., Xu, R., Wang, S., Zhou, L., Lin, X., Zhu, C., Zeng, M., Ji, H., & Chang, S.-F. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 117

SciAgent: Tool-augmented Language Models for Scientific Reasoning

Ma, Y., Gou, Z., Hao, J., Xu, R., Wang, S., Pan, L., Yang, Y., Cao, Y., & Sun, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 14