Yuting Ning

According to our database, Yuting Ning authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun

CoRR, 2024

Pandora: Towards General World Model with Natural Language Actions and Video States.

Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

CoRR, 2024

EduNLP: Towards a Unified and Modularized Library for Educational Resources.

Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang

CoRR, 2024

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search.

Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

TechPat: Technical Phrase Extraction for Patent Mining.

Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen

ACM Trans. Knowl. Discov. Data, November, 2023

Logic-Induced-Long-Tail (LINT).

Huihan Li, Yuting Ning, Zeyi Liao, Xiang Ren

Dataset, September, 2023

Federated User Modeling from Hierarchical Information.

Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou

ACM Trans. Inf. Syst., April, 2023

In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.

Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren

CoRR, 2023

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective.

Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen

CoRR, 2023

A Novel Approach for Auto-Formulation of Optimization Problems.

Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu

CoRR, 2023

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification.

Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training.

Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Hierarchical Personalized Federated Learning for User Modeling.

Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou

Proceedings of the WWW '21: The Web Conference 2021, 2021

Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.

Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021