Hao, Yaru

10 publications

ICLR 2026 Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen

ICLR 2026 Geometric-Mean Policy Optimization Yuzhong Zhao, Yue Liu, Junpeng Liu, Jingye Chen, Xun Wu, Yaru Hao, Tengchao Lv, Shaohan Huang, Lei Cui, Qixiang Ye, Fang Wan, Furu Wei

ICLR 2025 Data Selection via Optimal Control for Language Models Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

ICLR 2024 Grounding Multimodal Large Language Models to the World Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Qixiang Ye, Furu Wei

NeurIPS 2023 Language Is Not All You Need: Aligning Perception with Language Models Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei

NeurIPS 2023 Optimizing Prompts for Text-to-Image Generation Yaru Hao, Zewen Chi, Li Dong, Furu Wei

ICLR 2023 Prototypical Calibration for Few-Shot Learning of Language Models Zhixiong Han, Yaru Hao, Li Dong, Yutao Sun, Furu Wei

AAAI 2023 Prototypical Fine-Tuning: Towards Robust Performance Under Varying Data Sizes Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie

ICLRW 2023 Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei

AAAI 2021 Self-Attention Attribution: Interpreting Information Interactions Inside Transformer Yaru Hao, Li Dong, Furu Wei, Ke Xu