Quanquan Gu
University of California, Los Angeles
H-index: 61
North America-United States
Top articles of Quanquan Gu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance | arXiv preprint arXiv:2402.08680 | Linxi Zhao Yihe Deng Weitong Zhang Quanquan Gu | 2024/2/13 |
Robust learning with progressive data expansion against spurious correlation | arXiv preprint arXiv:2306.04949 | Yihe Deng* Yu Yang* Baharan Mirzasoleiman Quanquan Gu | 2023/6/8 |
Diffusion Language Models Are Versatile Protein Learners | arXiv preprint arXiv:2402.18567 | Xinyou Wang Zaixiang Zheng Fei Ye Dongyu Xue Shujian Huang | 2024/2/28 |
Feel-Good Thompson Sampling for Contextual Dueling Bandits | arXiv preprint arXiv:2404.06013 | Xuheng Li Heyang Zhao Quanquan Gu | 2024/4/9 |
Self-Play Preference Optimization for Language Model Alignment | arXiv preprint arXiv:2405.00675 | Yue Wu Zhiqing Sun Huizhuo Yuan Kaixuan Ji Yiming Yang | 2024/5/1 |
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure | Advances in Neural Information Processing Systems | Angela Yuan Chris Junchi Li Gauthier Gidel Michael Jordan Quanquan Gu | 2024/2/13 |
Batched neural bandits | ACM/IMS Journal of Data Science | Quanquan Gu Amin Karbasi Khashayar Khosravi Vahab Mirrokni Dongruo Zhou | 2024/1/16 |
What is the appropriate data representation of electrochemical impedance spectroscopy in machine-learning analysis? | Jingwen Sun Weitong Zhang Yuanzhou Chen Benjamin Hoar Hongyuan Sheng | 2024/2/26 | |
Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation | Nature Communications | Hongyuan Sheng Jingwen Sun Oliver Rodríguez Benjamin B Hoar Weitong Zhang | 2024/3/30 |
Matching the Statistical Query Lower Bound for k-sparse Parity Problems with Stochastic Gradient Descent | arXiv preprint arXiv:2404.12376 | Yiwen Kou Zixiang Chen Quanquan Gu Sham M Kakade | 2024/4/18 |
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data | Advances in Neural Information Processing Systems | Yiwen Kou Zixiang Chen Quanquan Gu | 2024/2/13 |
Trustllm: Trustworthiness in large language models | arXiv preprint arXiv:2401.05561 | Lichao Sun Yue Huang Haoran Wang Siyuan Wu Qihui Zhang | 2024/1/10 |
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation | arXiv preprint arXiv:2402.10210 | Huizhuo Yuan Zixiang Chen Kaixuan Ji Quanquan Gu | 2024/2/15 |
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization | arXiv preprint arXiv:2403.16576 | Xiangxin Zhou Dongyu Xue Ruizhe Chen Zaixiang Zheng Liang Wang | 2024/3/25 |
Guided Discrete Diffusion for Electronic Health Record Generation | arXiv preprint arXiv:2404.12314 | Zixiang Chen Jun Han Yongqian Li Yiwen Kou Eran Halperin | 2024/4/18 |
Self-play fine-tuning converts weak language models to strong language models | arXiv preprint arXiv:2401.01335 | Zixiang Chen Yihe Deng Huizhuo Yuan Kaixuan Ji Quanquan Gu | 2024/1/2 |
Corruption-robust offline reinforcement learning with general function approximation | Advances in Neural Information Processing Systems (NeurIPS) 2023 | Chenlu Ye* Rui Yang* Quanquan Gu Tong Zhang | 2023/10/23 |
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption | arXiv preprint arXiv:2402.08991 | Chenlu Ye Jiafan He Quanquan Gu Tong Zhang | 2024/2/14 |
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization | Xiangxin Zhou Xiwei Cheng Yuwei Yang Yu Bao Liang Wang | 2024 | |
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback | arXiv preprint arXiv:2404.10776 | Qiwei Di Jiafan He Quanquan Gu | 2024/4/16 |
Co-Authors
