Publications

Chenchen Ye*, Ziniu Hu*, Yihe Deng*, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang (2024). MIRAI: Evaluating LLM Agents for Event Forecasting. arXiv preprint arXiv:2407.01231.

Yihe Deng*, Pan Lu*, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang (2024). Enhancing Large Vision Language Models with Self-Training on Image Comprehension. Advances in neural information processing systems (NeurIPS).

Linxi Zhao*, Yihe Deng*, Weitong Zhang, Quanquan Gu (2024). Mitigating object hallucination in large vision-language models via classifier-free guidance. arXiv preprint arXiv:2402.08680.

Zixiang Chen*, Yihe Deng*, Huizhuo Yuan*, Kaixuan Ji, Quanquan Gu (2024). Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. Forty-first International Conference on Machine Learning (ICML).

Yihe Deng*, Yu Yang*, Baharan Mirzasoleiman, Quanquan Gu (2024). Robust learning with progressive data expansion against spurious correlation. Advances in neural information processing systems (NeurIPS).

Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu (2024). Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. The Twelfth International Conference on Learning Representations (ICLR).

Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu (2023). Rephrase and respond: Let large language models ask better questions for themselves. arXiv preprint arXiv:2311.04205.

Zixiang Chen*, Yihe Deng*, Yuanzhi Li, Quanquan Gu (2023). Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. The Twelfth International Conference on Learning Representations (ICLR).

Yihe Deng*, Ruochi Zhang*, Pan Xu, Jian Ma, Quanquan Gu (2023). PhyGCN: Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning. bioRxiv.

Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li (2022). Towards understanding the mixture-of-experts layer in deep learning. Advances in neural information processing systems (NeurIPS).