Flood Sung - RankMe

21 papers A* 3B 1Misc 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KLong: Training LLM Agent for Extremely Long-horizon Tasks. CoRR Yue Liu, Zhiyuan Hu, Flood Sung, Jiaheng Zhang, Bryan Hooi
2025	J	`jnl`	Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games. CoRR Xiaoqing Zhang, Huabin Zheng, Ang Lv, Yuhan Liu, Zirui Song, Flood Sung, Xiuying Chen, Rui Yan
2025	J	`jnl`	G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. CoRR Liang Chen, Hongcheng Gao, Tianyu Liu, Zhiqi Huang, Flood Sung, Xinyu Zhou, Yuxin Wu, Baobao Chang
2025	J	`jnl`	Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents. CoRR Zonghan Yang, Shengjie Wang, Kelin Fu, Wenyang He, Weimin Xiong, Yibo Liu, Yibo Miao, Bofei Gao, Yejie Wang, Yingwei Ma, Yanhao Li, Yue Liu, Zhenxing Hu, Kaitai Zhang, Shuyi Wang, Huarong Chen, Flood Sung, Yang Liu, Yang Gao, Zhilin Yang, Tianyu Liu
2025	J	`jnl`	Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning. CoRR Haiming Wang, Mert Unsal, Xiaohan Lin, Mantas Baksys, Junqi Liu, Marco Dos Santos, Flood Sung, Marina Vinyes, Zhenzhe Ying, Zekai Zhu, Jianqiao Lu, Hugues de Saxcé, Bolton Bailey, Chendong Song, Chenjun Xiao, Dehao Zhang, Ebony Zhang, Frederick Pu, Han Zhu, Jiawei Liu, Jonas Bayer, Julien Michel, Longhui Yu, Léo Dreyfus-Schmidt, Lewis Tunstall, Luigi Pagani, Moreira Machado, Pauline Bourigault, Ran Wang, Stanislas Polu, Thibaut Barroyer, Wen-Ding Li, Yazhe Niu, Yann Fleureau, Yangyang Hu, Zhouliang Yu, Zihan Wang, Zhilin Yang, Zhengying Liu, Jia Li
2025	A*	`conf`	Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. ICLR Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang
2025	J	`jnl`	Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. CoRR Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang
2025	—	`conf`	More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives. ACL (1) Xiaoqing Zhang, Ang Lv, Yuhan Liu, Flood Sung, Wei Liu, Jian Luan, Shuo Shang, Xiuying Chen, Rui Yan
2025	J	`jnl`	More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives. CoRR Xiaoqing Zhang, Ang Lv, Yuhan Liu, Flood Sung, Wei Liu, Shuo Shang, Xiuying Chen, Rui Yan
2025	J	`jnl`	OJBench: A Competition Level Code Benchmark For Large Language Models. CoRR Zhexu Wang, Yiping Liu, Yejie Wang, Wenyang He, Bofei Gao, Muxi Diao, Yanxu Chen, Kelin Fu, Flood Sung, Zhilin Yang, Tianyu Liu, Weiran Xu
2025	J	`jnl`	OpenCUA: Open Foundations for Computer-Use Agents. CoRR Xinyuan Wang, Bowen Wang, Dunjie Lu, Junlin Yang, Tianbao Xie, Junli Wang, Jiaqi Deng, Xiaole Guo, Yiheng Xu, Chen Henry Wu, Zhennan Shen, Zhuokai Li, Ryan Li, Xiaochuan Li, Junda Chen, Boyuan Zheng, Peihang Li, Fangyu Lei, Ruisheng Cao, Yeqiao Fu, Dongchan Shin, Martin Shin, Jiarui Hu, Yuyan Wang, Jixuan Chen, Yuxiao Ye, Danyang Zhang, Dikang Du, Hao Hu, Huarong Chen, Zaida Zhou, Haotian Yao, Ziwei Chen, Qizheng Gu, Yipu Wang, Heng Wang, Diyi Yang, Victor Zhong, Flood Sung, Y. Charles, Zhilin Yang, Tao Yu
2025	—	`conf`	Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement. ACL (Findings) Xiaoqing Zhang, Yuhan Liu, Flood Sung, Xiuying Chen, Shuo Shang, Rui Yan
2025	J	`jnl`	Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement. CoRR Xiaoqing Zhang, Yuhan Liu, Flood Sung, Xiuying Chen, Rui Yan
2023	A*	`conf`	Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations. NeurIPS Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen
2020	B	`conf`	RelationNet2: Deep Comparison Network for Few-Shot Learning. IJCNN Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales
2018	J	`jnl`	Deep Comparison: Relation Columns for Few-Shot Learning. CoRR Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales
2018	Misc	`conf`	Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. ICASSP Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie
2018	A*	`conf`	Learning to Compare: Relation Network for Few-Shot Learning. CVPR Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales
2017	J	`jnl`	Actor-Critic Sequence Training for Image Captioning. CoRR Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales
2017	J	`jnl`	Learning to Compare: Relation Network for Few-Shot Learning. CoRR Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales
2017	J	`jnl`	Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. CoRR Flood Sung, Li Zhang, Tao Xiang, Timothy M. Hospedales, Yongxin Yang