Yuxiao Qu - RankMe

19 papers A* 4Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL. CoRR Zhoujun Cheng, Yutao Xie, Yuxiao Qu, Amrith Setlur, Shibo Hao, Varad Pimpalkhute, Tongtong Liang, Feng Yao, Zhengzhong Liu, Eric P. Xing, Virginia Smith, Ruslan Salakhutdinov, Zhiting Hu, Taylor W. Killian, Aviral Kumar
2026	J	`jnl`	POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration. CoRR Yuxiao Qu, Amrith Setlur, Virginia Smith, Ruslan Salakhutdinov, Aviral Kumar
2026	J	`jnl`	Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL. CoRR Ian Wu, Yuxiao Qu, Amrith Setlur, Aviral Kumar
2025	J	`jnl`	CaRT: Teaching LLM Agents to Know When They Know Enough. CoRR Grace Liu, Yuxiao Qu, Jeff G. Schneider, Aarti Singh, Aviral Kumar
2025	A*	`conf`	Harnessing Webpage UIs for Text-Rich Visual Understanding. ICLR Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue
2025	J	`jnl`	Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning. CoRR Yuxiao Qu, Matthew Y. R. Yang, Amrith Setlur, Lewis Tunstall, Edward Emanuel Beeching, Ruslan Salakhutdinov, Aviral Kumar
2025	A*	`conf`	Optimizing Test-Time Compute via Meta Reinforcement Finetuning. ICML Yuxiao Qu, Matthew Y. R. Yang, Amrith Setlur, Lewis Tunstall, Edward Emanuel Beeching, Ruslan Salakhutdinov, Aviral Kumar
2025	J	`jnl`	RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems. CoRR Yuxiao Qu, Anikait Singh, Yoonho Lee, Amrith Setlur, Ruslan Salakhutdinov, Chelsea Finn, Aviral Kumar
2024	J	`jnl`	Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning. RLJ Nicholas E. Corrado, Yuxiao Qu, John U. Balis, Adam Labiosa, Josiah P. Hanna
2024	J	`jnl`	Harnessing Webpage UIs for Text-Rich Visual Understanding. CoRR Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue
2024	A*	`conf`	Recursive Introspection: Teaching Language Model Agents How to Self-Improve. NeurIPS Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
2024	J	`jnl`	Recursive Introspection: Teaching Language Model Agents How to Self-Improve. CoRR Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
2023	—	`conf`	FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. GeoAI@SIGSPATIAL Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
2023	J	`jnl`	FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. CoRR Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
2023	J	`jnl`	Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning. CoRR Nicholas E. Corrado, Yuxiao Qu, John U. Balis, Adam Labiosa, Josiah P. Hanna
2022	A*	`conf`	Polite or Direct? Conversation Design of a Smart Display for Older Adults Based on Politeness Theory. CHI Yaxin Hu, Yuxiao Qu, Adam Maus, Bilge Mutlu
2022	J	`jnl`	Polite or Direct? Conversation Design of a Smart Display for Older Adults Based on Politeness Theory. CoRR Yaxin Hu, Yuxiao Qu, Adam Maus, Bilge Mutlu
2022	—	`conf`	Simulation-Acquired Latent Action Spaces for Dynamics Generalization. CoLLAs Nicholas Corrado, Yuxiao Qu, Josiah P. Hanna
2021	—	`conf`	TreeNet: Deep Point Cloud Embedding for Routing Tree Construction. ASP-DAC Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu