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Yuting Ning
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2020 – today
- 2024
- [c5]Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren:
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. EMNLP 2024: 2348-2370 - [i7]Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang:
EduNLP: Towards a Unified and Modularized Library for Educational Resources. CoRR abs/2406.01276 (2024) - [i6]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:
Pandora: Towards General World Model with Natural Language Actions and Video States. CoRR abs/2406.09455 (2024) - [i5]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:
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. CoRR abs/2410.05080 (2024) - 2023
- [j2]Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen:
TechPat: Technical Phrase Extraction for Patent Mining. ACM Trans. Knowl. Discov. Data 17(9): 129:1-129:31 (2023) - [j1]Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Federated User Modeling from Hierarchical Information. ACM Trans. Inf. Syst. 41(2): 46:1-46:33 (2023) - [c4]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. AAAI 2023: 13409-13418 - [c3]Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng:
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification. IJCAI 2023: 2104-2113 - [d1]Huihan Li, Yuting Ning, Zeyi Liao, Xiang Ren:
Logic-Induced-Long-Tail (LINT). Zenodo, 2023 - [i4]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. CoRR abs/2301.07558 (2023) - [i3]Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu:
A Novel Approach for Auto-Formulation of Optimization Problems. CoRR abs/2302.04643 (2023) - [i2]Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen:
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. CoRR abs/2306.10512 (2023) - [i1]Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren:
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. CoRR abs/2311.07237 (2023) - 2021
- [c2]Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang:
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing. CCIS 2021: 61-65 - [c1]Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. WWW 2021: 957-968
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