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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