Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. - Flood Sung; Li Zhang 040; Tao Xiang 002; Timothy M. Hospedales; Yongxin Yang (CoRR, 2017)

Actor-Critic Sequence Training for Image Captioning. - Li Zhang 040; Flood Sung; Feng Liu 036; Tao Xiang 002; Shaogang Gong; Yongxin Yang; Timothy M. Hospedales (CoRR, 2017)

Learning to Compare: Relation Network for Few-Shot Learning. - Flood Sung; Yongxin Yang; Li Zhang 040; Tao Xiang 002; Philip H. S. Torr; Timothy M. Hospedales (CVPR, 2018)

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. - Guosheng Hu; Yuxin Hu; Kai Yang 031; Zehao Yu; Flood Sung; Zhihong Zhang 001; Fei Xie; Jianguo Liu; Neil Martin Robertson; Timothy M. Hospedales; Qiangwei Miemie (ICASSP, 2018)

Deep Comparison: Relation Columns for Few-Shot Learning. - Xueting Zhang; Flood Sung; Yuting Qiang; Yongxin Yang; Timothy M. Hospedales (CoRR, 2018)

RelationNet2: Deep Comparison Network for Few-Shot Learning. - Xueting Zhang; Yuting Qiang; Flood Sung; Yongxin Yang; Timothy M. Hospedales (IJCNN, 2020)

Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations. - Huiqiao Fu; Kaiqiang Tang; Yuanyang Lu; Yiming Qi; Guizhou Deng; Flood Sung; Chunlin Chen (NeurIPS, 2023)

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives. - Xiaoqing Zhang; Ang Lv; Yuhan Liu; Flood Sung; Wei Liu 005; Jian Luan 001; Shuo Shang; Xiuying Chen; Rui Yan 001 (ACL (1), 2025)

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement. - Xiaoqing Zhang; Yuhan Liu; Flood Sung; Xiuying Chen; Shuo Shang; Rui Yan 001 (ACL (Findings), 2025)

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. - Jin Zhang; Flood Sung; Zhilin Yang; Yang Gao 029; Chongjie Zhang (ICLR, 2025)

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives. - XiaoQing Zhang; Ang Lv; Yuhan Liu; Flood Sung; Wei Liu 005; Shuo Shang; Xiuying Chen; Rui Yan 001 (CoRR, 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement. - Xiaoqing Zhang; Yuhan Liu; Flood Sung; Xiuying Chen; Rui Yan 001 (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning. - 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; et al. (CoRR, 2025)

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. - Liang Chen 024; Hongcheng Gao; Tianyu Liu 001; Zhiqi Huang; Flood Sung; Xinyu Zhou; Yuxin Wu; Baobao Chang (CoRR, 2025)

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games. - Xiaoqing Zhang; Huabin Zheng; Ang Lv; Yuhan Liu; Zirui Song; Flood Sung; Xiuying Chen; Rui Yan 001 (CoRR, 2025)

OJBench: A Competition Level Code Benchmark For Large Language Models. - Zhexu Wang; Yiping Liu; Yejie Wang; Wenyang He; Bofei Gao; Muxi Diao; Yanxu Chen; Kelin Fu; Flood Sung; Zhilin Yang; Tianyu Liu; Weiran Xu (CoRR, 2025)

Kimi K2: Open Agentic Intelligence. - Yifan Bai; Yiping Bao; Guanduo Chen; Jiahao Chen; Ningxin Chen; Ruijue Chen; Yanru Chen; Yuankun Chen; Yutian Chen; Zhuofu Chen; Jialei Cui; Hao Ding; et al. (CoRR, 2025)

OpenCUA: Open Foundations for Computer-Use Agents. - 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; et al. (CoRR, 2025)