Ling, Chen

9 publications

ICLR 2026 LFQA-E: Carefully Benchmarking Long-Form QA Evaluation Yuchen Fan, Chen Ling, Xin Zhong, Shuo Zhang, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Zhizhou He, Cheng Huang, Gang Chen, Ning Ding, Bowen Zhou

ICLRW 2024 Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Mika Oishi, Takao Osaki, Katsushi Matsuda, Liang Zhao, Haifeng Chen

AISTATS 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai

NeurIPS 2024 SparseLLM: Towards Global Pruning of Pre-Trained Language Models Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao

NeurIPS 2024 TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao

ICMLW 2023 A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang

ICML 2023 Deep Graph Representation Learning and Optimization for Influence Maximization Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao

ICLR 2023 Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks Guangji Bai, Chen Ling, Liang Zhao

ECML-PKDD 2022 STGEN: Deep Continuous-Time Spatiotemporal Graph Generation Chen Ling, Hengning Cao, Liang Zhao