Wang, Zilong

13 publications

IJCAI 2025 A Survey on Bandit Learning in Matching Markets Shuai Li, Zilong Wang, Fang Kong

IJCAI 2025 From End-to-End to Step-by-Step: Learning to Abstract via Abductive Reinforcement Learning Zilong Wang, Jiongda Wang, Xiaoyong Chen, Meng Wang, Ming Ma, ZhiPeng Wang, Zhenyu Zhou, Tianming Yang, Wang-Zhou Dai

IJCAI 2025 Multi-Player Multi-Armed Bandits with Delayed Feedback Jingqi Fan, Zilong Wang, Shuai Li, Linghe Kong

ICML 2025 Optimal Algorithm for Max-Min Fair Bandit Zilong Wang, Zhiyao Zhang, Shuai Li

ICML 2025 PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation Based Large Vision-Language Models Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen

ICLR 2025 Speculative RAG: Enhancing Retrieval Augmented Generation Through Drafting Zilong Wang, Zifeng Wang, Long Le, Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

NeurIPS 2025 Training Language Models to Generate Quality Code with Program Analysis Feedback Feng Yao, Zilong Wang, Liyuan Liu, Junxia Cui, Li Zhong, Xiaohan Fu, Haohui Mai, Vish Krishnan, Jianfeng Gao, Jingbo Shang

AAAI 2024 Can LLM Replace Stack Overflow? a Study on Robustness and Reliability of Large Language Model Code Generation Li Zhong, Zilong Wang

ICLR 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

NeurIPS 2024 EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng

NeurIPS 2024 Improved Analysis for Bandit Learning in Matching Markets Fang Kong, Zilong Wang, Shuai Li

NeurIPS 2024 TableRAG: Million-Token Table Understanding with Language Models Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister

ICCV 2023 Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen