Shudong Liu - RankMe

12 papers A* 3Misc 1Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. CoRR Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang
2025	J	`jnl`	Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models. CoRR Rui Wang, Hongru Wang, Boyang Xue, Jianhui Pang, Shudong Liu, Yi Chen, Jiahao Qiu, Derek Fai Wong, Heng Ji, Kam-Fai Wong
2025	A*	`conf`	Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. ICLR Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2024	A*	`conf`	Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner. EMNLP Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min Zhang
2024	—	`conf`	Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation. ACL (Findings) Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek F. Wong, Min Zhang
2024	J	`jnl`	Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. CoRR Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2024	J	`jnl`	Learning from "Silly" Questions Improves Large Language Models, But Only Slightly. CoRR Tingyuan Zhu, Shudong Liu, Yidong Wang, Derek F. Wong, Han Yu, Takahiro Shinozaki, Jindong Wang
2023	A*	`conf`	Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. EMNLP Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
2023	J	`jnl`	TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization. CoRR Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
2023	—	`conf`	kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. ACL (1) Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang
2022	Misc	`conf`	A Graph Attention Interactive Refine Framework with Contextual Regularization for Jointing Intent Detection and Slot Filling. ICASSP Zhanbiao Zhu, Peijie Huang, Haojing Huang, Shudong Liu, Leyi Lao
2021	—	`conf`	Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction. NLPCC (1) Shudong Liu, Peijie Huang, Zhanbiao Zhu, Hualin Zhang, Jianying Tan