Yunxuan Li

According to our database, Yunxuan Li authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

2024

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

J. Mach. Learn. Res., 2024

Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.

Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent

CoRR, 2024

Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Harsh Lara, Yunxuan Li, Lei Shu, Yun Zhu, Lei Meng, Jiao Sun, Abhinav Rastogi

CoRR, 2024

PaDS: An adaptive and privacy-enabling Data Pipeline for Smart Cars.

Yunxuan Li, Christoph Stach, Bernhard Mitschang

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Opti-DeepRoute: A Topology-Adaptive Deep Reinforcement Learning Based Service Provisioning Framework for Elastic Optical Network.

Zexi Zhou, Rentao Gu, Xiaoya Zhang, Yunxuan Li, Lin Bai, Yuefeng Ji

Proceedings of the IEEE INFOCOM 2024, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enabling Lanuguage Models to Implicitly Learn Self-Improvement.

Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA.

Xiaoying Xing, Peixi Xiong, Lei Fan, Yunxuan Li, Ying Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.

Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning.

Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Multi-Agent Debate with Sparse Communication Topology.

Yunxuan Li, Yibing Du, Jiageng Zhang, Le Hou, Peter Grabowski, Yeqing Li, Eugene Ie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LALO - A Virtual Data Lake Zone for Composing Tailor-Made Data Products on Demand.

Christoph Stach, Yunxuan Li, Laura Schuiki, Bernhard Mitschang

Proceedings of the Database and Expert Systems Applications, 2024

Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception.

Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Superposition Assessment Framework of Multi-Source Traffic Risks for Mega-Events Using Risk Field Model and Time-Series Generative Adversarial Networks.

Zeyang Cheng, Jian Lu, Heng Ding, Yunxuan Li, Haijian Bai, Weihua Zhang

IEEE Trans. Intell. Transp. Syst., November, 2023

Enable Language Models to Implicitly Learn Self-Improvement From Data.

Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

CoRR, 2023

Privacy in Connected Vehicles: Perspectives of Drivers and Car Manufacturers.

Andrea Fieschi, Yunxuan Li, Pascal Hirmer, Christoph Stach, Bernhard Mitschang

Proceedings of the Service-Oriented Computing - 17th Symposium and Summer School, 2023

CV-Priv: Towards a Context Model for Privacy Policy Creation for Connected Vehicles.

Yunxuan Li, Pascal Hirmer, Christoph Stach

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Multi-node Cooperative Recovery against IP node failure Enabled by Flexible Optical Network.

Yunxuan Li, Rentao Gu, Yuefeng Ji

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

2022

In-depth Analysis of Traffic Conflicts at Interchange Merging Areas Based on Bayesian Network and Conflict chain.

Xin Gu, Yinjia Guo, Yuntong Zhou, Yunxuan Li, Yanyan Chen

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Ensuring Situation-Aware Privacy for Connected Vehicles.

Yunxuan Li, Pascal Hirmer, Christoph Stach, Bernhard Mitschang

Proceedings of the 12th International Conference on the Internet of Things, 2022

Unsupervised Depth Completion and Denoising for RGB-D Sensors.

Lei Fan, Yunxuan Li, Chen Jiang, Ying Wu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Exploratory Methods for Imbalanced Data Classification in Online Recruitment Fraud Detection: A Comparative Analysis.

Jiaxu Li, Yunxuan Li, Hongjian Han, Xin Lu

Proceedings of the ICCBD 2021: 4th International Conference on Computing and Big Data, Wuhan, China, November 27, 2021

2017

Quantitative style analysis of Mo Yan and Zhang Wei's novels.

Yunxuan Li, Weiyun Ji, Dekuan Xu

Proceedings of the International Conference on Web Intelligence, 2017