Yangjun Ruan - RankMe

26 papers A* 10Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. ACL (1) Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
2025	J	`jnl`	LM Agents May Fail to Act on Their Own Risk Knowledge. CoRR Yuzhi Tang, Tianxiao Li, Elizabeth Li, Chris J. Maddison, Honghua Dong, Yangjun Ruan
2025	A*	`conf`	MixMin: Finding Data Mixtures via Convex Minimization. ICML Anvith Thudi, Evianne Rovers, Yangjun Ruan, Tristan Thrush, Chris J. Maddison
2025	J	`jnl`	MixMin: Finding Data Mixtures via Convex Minimization. CoRR Anvith Thudi, Evianne Rovers, Yangjun Ruan, Tristan Thrush, Chris J. Maddison
2025	J	`jnl`	Putting It All into Context: Simplifying Agents with LCLMs. CoRR Mingjian Jiang, Yangjun Ruan, Luis A. Lastras, Pavan Kapanipathi, Tatsunori Hashimoto
2025	J	`jnl`	Reasoning to Learn from Latent Thoughts. CoRR Yangjun Ruan, Neil Band, Chris J. Maddison, Tatsunori Hashimoto
2024	J	`jnl`	APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. CoRR Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
2024	A*	`conf`	Graph-based Uncertainty Metrics for Long-form Language Model Generations. NeurIPS Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori B. Hashimoto
2024	J	`jnl`	Graph-based Uncertainty Metrics for Long-form Language Model Outputs. CoRR Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori Hashimoto
2024	A*	`conf`	Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
2024	A*	`conf`	Observational Scaling Laws and the Predictability of Langauge Model Performance. NeurIPS Yangjun Ruan, Chris J. Maddison, Tatsunori B. Hashimoto
2024	J	`jnl`	Observational Scaling Laws and the Predictability of Language Model Performance. CoRR Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
2023	J	`jnl`	Identifying the Risks of LM Agents with an LM-Emulated Sandbox. CoRR Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
2023	A*	`conf`	Weighted Ensemble Self-Supervised Learning. ICLR Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
2022	A*	`conf`	Augment with Care: Contrastive Learning for Combinatorial Problems. ICML Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
2022	J	`jnl`	Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem. CoRR Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
2022	A*	`conf`	Optimal Representations for Covariate Shift. ICLR Yangjun Ruan, Yann Dubois, Chris J. Maddison
2022	J	`jnl`	Optimal Representations for Covariate Shift. CoRR Yangjun Ruan, Yann Dubois, Chris J. Maddison
2022	J	`jnl`	Weighted Ensemble Self-Supervised Learning. CoRR Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
2021	A*	`conf`	Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. ICML Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2021	J	`jnl`	Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2020	A*	`conf`	Learning to Learn by Zeroth-Order Oracle. ICLR Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh
2019	J	`jnl`	Data Transmission in Mobile Edge Networks: Whether and Where to Compress? IEEE Commun. Lett. Jinke Ren, Yangjun Ruan, Guanding Yu
2019	A*	`conf`	FastSpeech: Fast, Robust and Controllable Text to Speech. NeurIPS Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2019	J	`jnl`	FastSpeech: Fast, Robust and Controllable Text to Speech. CoRR Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2019	J	`jnl`	Learning to Learn by Zeroth-Order Oracle. CoRR Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh