Kezhen Chen - RankMe

28 papers A* 9A 1B 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Classroom Final Exam: An Instructor-Tested Reasoning Benchmark. CoRR Chongyang Gao, Diji Yang, Shuyan Zhou, Xichen Yan, Luchuan Song, Shuo Li, Kezhen Chen
2025	J	`jnl`	Hybrid primal sketch: Combining analogy, qualitative representations, and computer vision for scene understanding. Cogn. Syst. Res. Kenneth D. Forbus, Kezhen Chen, Wangcheng Xu, Madeline Usher
2025	J	`jnl`	Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language. CoRR Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, Chiang-Wei Fang, Zeyu Zheng, Jie Yang
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`	Reinforcing Thinking through Reasoning-Enhanced Reward Models. CoRR Diji Yang, Linda Zeng, Kezhen Chen, Yi Zhang
2025	J	`jnl`	SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning. CoRR Andrew Li, Rahul Thapa, Rahul Chalamala, Qingyang Wu, Kezhen Chen, James Zou
2024	J	`jnl`	Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. CoRR Kezhen Chen, Rahul Thapa, Rahul Chalamala, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou
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	J	`jnl`	Hybrid Primal Sketch: Combining Analogy, Qualitative Representations, and Computer Vision for Scene Understanding. CoRR Kenneth D. Forbus, Kezhen Chen, Wangcheng Xu, Madeline Usher
2024	A*	`conf`	IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. SIGIR Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2024	J	`jnl`	IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. CoRR Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2024	A*	`conf`	RedPajama: an Open Dataset for Training Large Language Models. NeurIPS Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	J	`jnl`	RedPajama: an Open Dataset for Training Large Language Models. CoRR Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	A*	`conf`	Tackling Vision Language Tasks through Learning Inner Monologues. AAAI Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2023	J	`jnl`	Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. CoRR Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang
2023	J	`jnl`	LOWA: Localize Objects in the Wild with Attributes. CoRR Xiaoyuan Guo, Kezhen Chen, Jinmeng Rao, Yawen Zhang, Baochen Sun, Jie Yang
2023	A*	`conf`	Sketch Recognition via Part-based Hierarchical Analogical Learning. IJCAI Kezhen Chen, Kenneth D. Forbus, Balaji Vasan Srinivasan, Niyati Chhaya, Madeline Usher
2023	J	`jnl`	Tackling Vision Language Tasks Through Learning Inner Monologues. CoRR Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2021	—	`conf`	NICE: Neural Image Commenting with Empathy. EMNLP (Findings) Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao
2021	A*	`conf`	Visual Relation Detection using Hybrid Analogical Learning. AAAI Kezhen Chen, Kenneth D. Forbus
2020	A*	`conf`	Mapping natural-language problems to formal-language solutions using structured neural representations. ICML Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
2020	B	`conf`	Simulating Infant Visual Learning by Comparison: An Initial Model. CogSci Kezhen Chen, Kenneth D. Forbus, Dedre Gentner, Susan J. Hespos, Erin M. Anderson
2019	A*	`conf`	Human-Like Sketch Object Recognition via Analogical Learning. AAAI Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus
2019	J	`jnl`	Natural- to formal-language generation using Tensor Product Representations. CoRR Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
2018	A*	`conf`	Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations. AAAI Kezhen Chen, Kenneth D. Forbus
2016	A	`conf`	AutoManner: An Automated Interface for Making Public Speakers Aware of Their Mannerisms. IUI Mohammad Iftekhar Tanveer, Ru Zhao, Kezhen Chen, Zoe Tiet, Mohammed (Ehsan) Hoque
2015	A*	`conf`	Who are the Devils Wearing Prada in New York City? ACM Multimedia Kuan-Ting Chen, Kezhen Chen, Peizhong Cong, Winston H. Hsu, Jiebo Luo
2015	J	`jnl`	Who are the Devils Wearing Prada in New York City? CoRR Kuan-Ting Chen, Kezhen Chen, Peizhong Cong, Winston H. Hsu, Jiebo Luo