Yuyang Bai

According to our database, Yuyang Bai authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction.

Zhuofeng Li, Haoxiang Zhang, Cong Wei, Pan Lu, Ping Nie, Yi Lu, Yuyang Bai, Shangbin Feng, Hangxiao Zhu, Ming Zhong, Yuyu Zhang, Jianwen Xie, Yejin Choi, James Zou, Jiawei Han, Wenhu Chen, Jimmy Lin, Dongfu Jiang, Yu Zhang

CoRR, May, 2026

GraphDancer: Training LLMs to Explore and Reason over Graphs via Curriculum Reinforcement Learning.

Yuyang Bai, Zhuofeng Li, Ping Nie, Jianwen Xie, Yu Zhang

CoRR, February, 2026

MoCo: A One-Stop Shop for Model Collaboration Research.

Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang, Zhaoxuan Tan, Jiajie Yan, Zhen Lei, Wenxuan Ding, Weijia Shi, Haojin Wang, Zhenting Qi, Yuru Jiang, Heng Wang, Chengsong Huang, Yu Fei, Jihan Yao, Yilun Du, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov

CoRR, January, 2026

A deep reinforcement learning approach for portfolio rebalancing with Dragon Pullback multi-stage candlestick pattern embedding.

Yuyang Bai, Changsheng Zhang, Longhaoze Liu, Baiqing Sun, Haoxuan Sun, Shijia Wang, Dong Zhang

Eng. Appl. Artif. Intell., 2026

ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents.

Zhuofeng Li, Yi Lu, Dongfu Jiang, Haoxiang Zhang, Yuyang Bai, Chuan Li, Yu Wang, Shuiwang Ji, Jianwen Xie, Yu Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training.

Chao Ouyang, Yuyang Bai, Jun Zhang, Tianlu Gao, Jun Hao, Lijun Kong, David Wenzhong Gao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A non-index mixed-asset portfolio optimization approach.

Yuyang Bai, Changsheng Zhang, Baiqing Sun, Bin Zhang

Swarm Evol. Comput., 2025

From Predictions to Analyses: Rationale-Augmented Fake News Detection with Large Vision-Language Models.

Xiaofan Zheng, Zinan Zeng, Heng Wang, Yuyang Bai, Yuhan Liu, Minnan Luo

Proceedings of the ACM on Web Conference 2025, 2025

Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models.

Yilin Wang, Heng Wang, Yuyang Bai, Minnan Luo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts.

Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models.

Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov

Proceedings of the ACM on Web Conference 2024, 2024

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models.

Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.

Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A two-level parallel decomposition-based artificial bee colony method for dynamic multi-objective optimization problems.

Yuyang Bai, Changsheng Zhang, Weitong Bai

Appl. Soft Comput., November, 2023

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge.

Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

CoRR, 2023

A Probabilistic Model Toward How People Search to Build Outcomes.

Yuli Zhao, Yuyang Bai, Yin Zhang, Bin Zhang, Pertti Vakkari

IEEE Access, 2023

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks.

Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge.

Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection.

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolutionary Deep Reinforcement Learning for Volt-VAR Control in Distribution Network.

Ruiqi Si, Tianlu Gao, Yuxin Dai, Yuyang Bai, Yuqi Jiang, Jun Zhang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

2019

A Framework of Decentralized Electricity Market Based on The Collaborative Mechanism of Blockchain and Edge Computing.

Siyuan Chen, Yuyang Bai, Yinya Zhang, Xiaohong Liu, Jun Zhang, Tianlu Gao, Zhou Fang, Yuxin Dai

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019