Daiyi Peng - RankMe

26 papers A* 5Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MoLA: MoE LoRA with Layer-wise Expert Allocation. NAACL (Findings) Chongyang Gao, Kezhen Chen, Jinmeng Rao, Ruibo Liu, Baochen Sun, Yawen Zhang, Daiyi Peng, Xiaoyuan Guo, V. S. Subrahmanian
2025	J	`jnl`	Type-Compliant Adaptation Cascades: Adapting Programmatic LM Workflows to Data. CoRR Chu-Cheng Lin, Daiyi Peng, Yifeng Lu, Ming Zhang, Eugene Ie
2024	J	`jnl`	Best Practices and Lessons Learned on Synthetic Data for Language Models. CoRR Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai
2024	J	`jnl`	Higher Layers Need More LoRA Experts. CoRR Chongyang Gao, Kezhen Chen, Jinmeng Rao, Baochen Sun, Ruibo Liu, Daiyi Peng, Yawen Zhang, Xiaoyuan Guo, Jie Yang, V. S. Subrahmanian
2024	A*	`conf`	Long-form factuality in large language models. NeurIPS Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
2024	J	`jnl`	Long-form factuality in large language models. CoRR Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
2024	J	`jnl`	OmniPred: Language Models as Universal Regressors. CoRR Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024	J	`jnl`	OmniPred: Language Models as Universal Regressors. Trans. Mach. Learn. Res. Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2023	A*	`conf`	Brainformers: Trading Simplicity for Efficiency. ICML Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
2023	J	`jnl`	Brainformers: Trading Simplicity for Efficiency. CoRR Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
2023	J	`jnl`	LayerNAS: Neural Architecture Search in Polynomial Complexity. CoRR Yicheng Fan, Dana Alon, Jingyue Shen, Daiyi Peng, Keshav Kumar, Yun Long, Xin Wang, Fotis Iliopoulos, Da-Cheng Juan, Erik Vee
2023	J	`jnl`	PyGlove: Efficiently Exchanging ML Ideas as Code. CoRR Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le
2022	A*	`conf`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
2022	J	`jnl`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
2022	—	`conf`	Differentiable Architecture Search for Reinforcement Learning. AutoML Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
2022	—	`conf`	Towards the Co-design of Neural Networks and Accelerators. MLSys Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
2021	J	`jnl`	ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang
2021	A*	`conf`	Evolving Reinforcement Learning Algorithms. ICLR John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V. Le, Sergey Levine, Honglak Lee, Aleksandra Faust
2021	J	`jnl`	Evolving Reinforcement Learning Algorithms. CoRR John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust
2021	J	`jnl`	PyGlove: Symbolic Programming for Automated Machine Learning. CoRR Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le
2021	J	`jnl`	RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. CoRR Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
2021	J	`jnl`	Rethinking Co-design of Neural Architectures and Hardware Accelerators. CoRR Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
2020	J	`jnl`	AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le
2020	A*	`conf`	PyGlove: Symbolic Programming for Automated Machine Learning. NeurIPS Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le
2020	J	`jnl`	Towards NNGP-guided Neural Architecture Search. CoRR Daniel S. Park, Jaehoon Lee, Daiyi Peng, Yuan Cao, Jascha Sohl-Dickstein
2018	J	`jnl`	Domain Adaptive Transfer Learning with Specialist Models. CoRR Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang