Yifang Chen - RankMe

25 papers A* 9Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters. CoRR Yiping Wang, Hanxian Huang, Yifang Chen, Jishen Zhao, Simon Shaolei Du, Yuandong Tian
2024	—	`conf`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	J	`jnl`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	A*	`conf`	CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning. NeurIPS Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon S. Du
2024	J	`jnl`	CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning. CoRR Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon Shaolei Du
2024	J	`jnl`	Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin Jamieson, Simon Shaolei Du, Yelong Shen
2024	A*	`conf`	Decoding-Time Language Model Alignment with Multiple Objectives. NeurIPS Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hanna Hajishirzi, Noah A. Smith, Simon S. Du
2024	J	`jnl`	Decoding-Time Language Model Alignment with Multiple Objectives. CoRR Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du
2024	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning. J. Data-centric Mach. Learn. Res. Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2024	J	`jnl`	Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning. CoRR Yiping Wang, Yifang Chen, Wendan Yan, Kevin Jamieson, Simon Shaolei Du
2023	J	`jnl`	Active Representation Learning for General Task Space with Applications in Robotics. CoRR Yifang Chen, Yingbing Huang, Simon S. Du, Kevin Jamieson, Guanya Shi
2023	A*	`conf`	Active representation learning for general task space with applications in robotics. NeurIPS Yifang Chen, Yingbing Huang, Simon S. Du, Kevin Jamieson, Guanya Shi
2023	A*	`conf`	Improved Active Multi-Task Representation Learning via Lasso. ICML Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du
2023	J	`jnl`	Improved Active Multi-Task Representation Learning via Lasso. CoRR Yiping Wang, Yifang Chen, Kevin Jamieson, Simon S. Du
2023	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2022	A*	`conf`	Active Multi-Task Representation Learning. ICML Yifang Chen, Kevin Jamieson, Simon S. Du
2022	J	`jnl`	Active Multi-Task Representation Learning. CoRR Yifang Chen, Simon S. Du, Kevin Jamieson
2022	A*	`conf`	First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. ICML Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
2022	A*	`conf`	Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. ICML Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
2022	J	`jnl`	Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. CoRR Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
2021	A*	`conf`	Corruption Robust Active Learning. NeurIPS Yifang Chen, Simon S. Du, Kevin Jamieson
2021	J	`jnl`	Corruption Robust Active Learning. CoRR Yifang Chen, Simon S. Du, Kevin Jamieson
2021	J	`jnl`	First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. CoRR Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
2021	A*	`conf`	Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. ICML Yifang Chen, Simon S. Du, Kevin Jamieson
2021	J	`jnl`	Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. CoRR Yifang Chen, Simon S. Du, Kevin Jamieson