Ruan, Yangjun

15 publications

ICLRW 2025 LM Agents May Fail to Act on Their Own Risk Knowledge Yuzhi Tang, Tianxiao Li, Elizabeth Li, Chris J. Maddison, Honghua Dong, Yangjun Ruan
ICML 2025 MixMin: Finding Data Mixtures via Convex Minimization Anvith Thudi, Evianne Rovers, Yangjun Ruan, Tristan Thrush, Chris J. Maddison
NeurIPS 2024 Graph-Based Uncertainty Metrics for Long-Form Language Model Generations Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori Hashimoto
ICLR 2024 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
NeurIPS 2024 Observational Scaling Laws and the Predictability of Langauge Model Performance Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
ICMLW 2023 Calibrating Language Models via Augmented Prompt Ensembles Mingjian Jiang, Yangjun Ruan, Sicong Huang, Saifei Liao, Silviu Pitis, Roger Baker Grosse, Jimmy Ba
NeurIPSW 2023 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
ICLR 2023 Weighted Ensemble Self-Supervised Learning Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
ICML 2022 Augment with Care: Contrastive Learning for Combinatorial Problems Haonan Duan, Pashootan Vaezipoor, Max B Paulus, Yangjun Ruan, Chris Maddison
ICLR 2022 Optimal Representations for Covariate Shift Yangjun Ruan, Yann Dubois, Chris J. Maddison
ICML 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan, Karen Ullrich, Daniel S Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris Maddison
ICLRW 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish J Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
NeurIPSW 2021 Optimal Representations for Covariate Shifts Yann Dubois, Yangjun Ruan, Chris J. Maddison
ICLR 2020 Learning to Learn by Zeroth-Order Oracle Yangjun Ruan, Yuanhao Xiong, Sashank Reddi, Sanjiv Kumar, Cho-Jui Hsieh
NeurIPS 2019 FastSpeech: Fast, Robust and Controllable Text to Speech Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu