Yihe Deng - RankMe

31 papers A* 10A 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails. CoRR Yihe Deng, Yu Yang, Junkai Zhang, Wei Wang, Bo Li
2025	J	`jnl`	Entropy-Based Adaptive Weighting for Self-Training. CoRR Xiaoxuan Wang, Yihe Deng, Mingyu Derek Ma, Wei Wang
2025	A*	`conf`	Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance. ICML Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
2025	J	`jnl`	More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. CoRR Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong
2025	A	`conf`	On the Power of Multitask Representation Learning with Gradient Descent. AISTATS Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu
2025	J	`jnl`	OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement. CoRR Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang
2025	J	`jnl`	Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning. CoRR Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee
2024	A*	`conf`	Enhancing Large Vision Language Models with Self-Training on Image Comprehension. NeurIPS Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Y. Zou, Kai-Wei Chang, Wei Wang
2024	J	`jnl`	Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang
2024	J	`jnl`	Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning. CoRR Yihe Deng, Paul Mineiro
2024	A*	`conf`	GraphVis: Boosting LLMs with Visual Knowledge Graph Integration. NeurIPS Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang
2024	J	`jnl`	MIRAI: Evaluating LLM Agents for Event Forecasting. CoRR Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang
2024	J	`jnl`	Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance. CoRR Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
2024	J	`jnl`	Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning. Trans. Mach. Learn. Res. Yihe Deng, Ruochi Zhang, Pan Xu, Jian Ma, Quanquan Gu
2024	A*	`conf`	Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. ICLR Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
2024	A*	`conf`	Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. ICML Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024	J	`jnl`	Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. CoRR Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024	A*	`conf`	Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. ICLR Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
2023	—	`conf`	A Short Text Classification Model Based on Chinese Part-of-Speech Information and Mutual Learning. ICPCSEE (2) Yihe Deng, Zuxu Dai
2023	J	`jnl`	Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves. CoRR Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu
2023	J	`jnl`	Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. CoRR Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
2023	A*	`conf`	Robust Learning with Progressive Data Expansion Against Spurious Correlation. NeurIPS Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
2023	J	`jnl`	Robust Learning with Progressive Data Expansion Against Spurious Correlation. CoRR Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
2023	J	`jnl`	Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. CoRR Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
2022	J	`jnl`	Towards Understanding Mixture of Experts in Deep Learning. CoRR Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
2022	A*	`conf`	Towards Understanding the Mixture-of-Experts Layer in Deep Learning. NeurIPS Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
2021	A*	`conf`	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. AAAI Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
2020	J	`jnl`	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks. CoRR Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
2019	A*	`conf`	Adaptive Wavelet Clustering for Highly Noisy Data. ICDE Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft
2019	—	`conf`	Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. ACL (1) Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che
2018	J	`jnl`	Adaptive Wavelet Clustering for Highly Noisy Data. CoRR Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft