Yu, Ping

11 publications

ICML 2025 R.I.P.: Better Models by Survival of the Fittest Prompts Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason E Weston, Jing Xu

NeurIPSW 2024 Distilling System 2 into System 1 Ping Yu, Jing Xu, Jason E Weston, Ilia Kulikov

ICLR 2024 Self-Alignment with Instruction Backtranslation Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason E Weston, Mike Lewis

ICLRW 2024 The ART of LLM Refinement: Ask, Refine, Trust Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason E Weston, Asli Celikyilmaz

NeurIPS 2023 LIMA: Less Is More for Alignment Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy

CVPRW 2021 ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen

ICLR 2020 Bayesian Meta Sampling for Fast Uncertainty Adaptation Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen

ICML 2020 Feature Quantization Improves GAN Training Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen

AAAI 2020 Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen

ECCV 2020 Structure-Aware Human-Action Generation Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen

JMLR 2019 Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression WenWu Wang, Ping Yu, Lu Lin, Tiejun Tong