Deng, Yihe

16 publications

ICML 2025 Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
AISTATS 2025 On the Power of Multitask Representation Learning with Gradient Descent Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu
NeurIPS 2025 OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang
NeurIPS 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Zou, Kai-Wei Chang, Wei Wang
NeurIPSW 2024 Flow-DPO: Improving LLM Mathematical Reasoning Through Online Multi-Agent Learning Yihe Deng, Paul Mineiro
NeurIPS 2024 GraphVis: Boosting LLMs with Visual Knowledge Graph Integration Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang
NeurIPSW 2024 Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
TMLR 2024 Pre-Trained Hypergraph Convolutional Neural Networks with Self-Supervised Learning Yihe Deng, Ruochi Zhang, Pan Xu, Jian Ma, Quanquan Gu
ICLR 2024 Risk Bounds of Accelerated SGD for Overparameterized Linear Regression Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
ICML 2024 Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
ICLR 2024 Understanding Transferable Representation Learning and Zero-Shot Transfer in CLIP Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
NeurIPSW 2023 Risk Bounds of Accelerated SGD for Overparameterized Linear Regression Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
NeurIPS 2023 Robust Learning with Progressive Data Expansion Against Spurious Correlation Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
NeurIPSW 2023 Understanding Transferable Representation Learning and Zero-Shot Transfer in CLIP Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
NeurIPS 2022 Towards Understanding the Mixture-of-Experts Layer in Deep Learning Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
AAAI 2021 Adversarial Training with Fast Gradient Projection Method Against Synonym Substitution Based Text Attacks Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He