Linlin Yu

28 papers A* 7A 1B 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions.
AAAI
Xingwei He, Qianru Zhang, Pengfei Chen, Guanhua Chen, Linlin Yu, Yuan Yuan, Siu-Ming Yiu
2026 A* conf
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.
AAAI
Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026 J jnl
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.
CoRR
Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026 A* conf
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models.
AAAI
Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2026 J jnl
Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges.
Inf. Fusion
Jianfeng He, Linlin Yu, Changbin Li, Runing Yang, Fanglan Chen, Kangshuo Li, Min Zhang, Shuo Lei, Xuchao Zhang, Mohammad Beigi, Kaize Ding, Bei Xiao, Lifu Huang, Feng Chen, Ming Jin, Chang-Tien Lu
2025 J jnl
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions.
CoRR
Xingwei He, Qianru Zhang, Pengfei Chen, Guanhua Chen, Linlin Yu, Yuan Yuan, Siu-Ming Yiu
2025 A conf
Evidential Uncertainty Probes for Graph Neural Networks.
AISTATS
Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
2025 J jnl
Evidential Uncertainty Probes for Graph Neural Networks.
CoRR
Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
2025 J jnl
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models.
CoRR
Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2025 A* conf
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function.
ICLR
Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen
2025 — conf
Pricing Items Based on Their Own History: Transformer-Generated Deep Isotonic Pricing Networks.
WWW (Companion Volume)
Longxiang Zhang, Linlin Yu, Bin Chen, Zhuojun Wang, Chengfu Huo
2025 J jnl
Retrieval Method of Online English Grammar Questions Based on Natural Language Processing.
J. Inf. Knowl. Manag.
Linlin Yu
2025 J jnl
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search.
CoRR
Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
2024 J jnl
Camera-view supervision for bird's-eye-view semantic segmentation.
Frontiers Big Data
Bowen Yang, Linlin Yu, Feng Chen
2024 A* conf
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
EMNLP
Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu
2024 J jnl
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
CoRR
Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu
2024 — conf
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission.
NAACL-HLT (Findings)
Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
2024 J jnl
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks.
CoRR
Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen
2024 A* conf
Uncertainty-aware Graph-based Hyperspectral Image Classification.
ICLR
Linlin Yu, Yifei Lou, Feng Chen
2023 A* conf
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization.
NeurIPS
Russell Hart, Linlin Yu, Yifei Lou, Feng Chen
2023 J jnl
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization.
CoRR
Russell Alan Hart, Linlin Yu, Yifei Lou, Feng Chen
2023 — conf
Overview of the NLPCC 2023 Shared Task: Chinese Spelling Check.
NLPCC (3)
Xunjian Yin, Xiaojun Wan, Dan Zhang, Linlin Yu, Long Yu
2023 J jnl
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission.
CoRR
Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
2021 — conf
Refined Teaching Mode of Courses Based on Digital Intelligent Platform.
SPIoT (1)
Fang Qin, Weijia Zeng, Linlin Yu, Lin Li, Xiaoxia Tao
2020 B conf
A Transfer Learning Method with Multi-feature Calibration for Building Identification.
IJCNN
Jiafa Mao, Linlin Yu, Hui Yu, Yahong Hu, Weiguo Sheng
2020 — conf
Effective Control Method of the Whole Process Project Cost Based on BIM.
SPIoT (2)
Linlin Yu
2018 — conf
Beyond Pivot for Extracting Chinese Paraphrases.
CCIR
Yu Zhang, Le Qi, Linjie Wang, Linlin Yu, Ting Liu
2017 J jnl
FastBTM: Reducing the sampling time for biterm topic model.
Knowl. Based Syst.
Xingwei He, Hua Xu, Jia Li, Liu He, Linlin Yu