Yihe Deng

According to our database, Yihe Deng authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment.

Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong

CoRR, April, 2025

Entropy-Based Adaptive Weighting for Self-Training.

Xiaoxuan Wang, Yihe Deng, Mingyu Derek Ma, Wei Wang

CoRR, March, 2025

OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement.

Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang

CoRR, March, 2025

DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails.

Yihe Deng, Yu Yang, Junkai Zhang, Wei Wang, Bo Li

CoRR, February, 2025

On the Power of Multitask Representation Learning with Gradient Descent.

Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning.

Yihe Deng, Ruochi Zhang, Pan Xu, Jian Ma, Quanquan Gu

Trans. Mach. Learn. Res., 2024

Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning.

Yihe Deng, Paul Mineiro

CoRR, 2024

MIRAI: Evaluating LLM Agents for Event Forecasting.

Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang

CoRR, 2024

Enhancing Large Vision Language Models with Self-Training on Image Comprehension.

Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang

CoRR, 2024

Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance.

Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu

CoRR, 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 Y. Zou, Kai-Wei Chang, Wei Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GraphVis: Boosting LLMs with Visual Knowledge Graph Integration.

Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Risk Bounds of Accelerated SGD for Overparameterized Linear Regression.

Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP.

Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves.

Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu

CoRR, 2023

Robust Learning with Progressive Data Expansion Against Spurious Correlation.

Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Short Text Classification Model Based on Chinese Part-of-Speech Information and Mutual Learning.

Yihe Deng, Zuxu Dai

Proceedings of the Data Science, 2023

2022

Towards Understanding Mixture of Experts in Deep Learning.

Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li

CoRR, 2022

Towards Understanding the Mixture-of-Experts Layer in Deep Learning.

Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks.

Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Adaptive Wavelet Clustering for Highly Noisy Data.

Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency.

Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019