Yangjun Ruan

According to our database, Yangjun Ruan authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

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

CoRR, August, 2025

Putting It All into Context: Simplifying Agents with LCLMs.

Mingjian Jiang, Yangjun Ruan, Luis A. Lastras, Pavan Kapanipathi, Tatsunori Hashimoto

CoRR, May, 2025

Reasoning to Learn from Latent Thoughts.

Yangjun Ruan, Neil Band, Chris J. Maddison, Tatsunori Hashimoto

CoRR, March, 2025

MixMin: Finding Data Mixtures via Convex Minimization.

Anvith Thudi, Evianne Rovers, Yangjun Ruan, Tristan Thrush, Chris J. Maddison

CoRR, February, 2025

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts.

Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Graph-based Uncertainty Metrics for Long-form Language Model Outputs.

Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori Hashimoto

CoRR, 2024

Observational Scaling Laws and the Predictability of Language Model Performance.

Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto

CoRR, 2024

Observational Scaling Laws and the Predictability of Langauge Model Performance.

Yangjun Ruan, Chris J. Maddison, Tatsunori B. Hashimoto

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

Graph-based Uncertainty Metrics for Long-form Language Model Generations.

Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori B. Hashimoto

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Weighted Ensemble Self-Supervised Learning.

Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem.

Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison

CoRR, 2022

Augment with Care: Contrastive Learning for Combinatorial Problems.

Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison

Proceedings of the International Conference on Machine Learning, 2022

Optimal Representations for Covariate Shift.

Yangjun Ruan, Yann Dubois, Chris J. Maddison

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.

Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning to Learn by Zeroth-Order Oracle.

Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Data Transmission in Mobile Edge Networks: Whether and Where to Compress?

Jinke Ren, Yangjun Ruan, Guanding Yu

IEEE Commun. Lett., 2019

FastSpeech: Fast, Robust and Controllable Text to Speech.

Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019