Lin, Dahua

SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Ding, S., Qian, R., Dong, X., Zhang, P., Zang, Y., Cao, Y., Guo, Y., Lin, D., & Wang, J. (2024) · arXiv

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 19

A survey of low-bit large language models: Basics, systems, and algorithms

Gong, R., Ding, Y., Wang, Z., Lv, C., Zheng, X., Du, J., Yong, Y., Gu, S., Qin, H., Guo, J., et al. (2025) · Neural Networks

Advanced Neural Network ApplicationsTopic Modeling

Cited by 16

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Niu, J., Liu, Z., Gu, Z., Wang, B., Ouyang, L., Zhao, Z., Chu, T., He, T., Wu, F., Zhang, Q., et al. (2025) · arXiv

Handwritten Text Recognition TechniquesAdvanced Neural Network Applications

Cited by 3

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Ying, H., Zhang, S., Li, L., Zhou, Z., Shao, Y., Fei, Z., Ma, Y., Hong, J., Liu, K., Wang, Z., et al. (2024) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 3

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks

Wang, C., Duan, H., Zhang, S., Lin, D., & Chen, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K

Yuan, T., Ning, X., Zhou, D., Yang, Z., Li, S., Zhuang, M., Tan, Z., Yao, Z., Lin, D., Li, B., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

CriticEval: Evaluating Large Language Model as Critic

Lan, T., Zhang, W., Xu, C., Huang, H., Lin, D., Chen, K., & Mao, X.-L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Visual-ERM: Reward Modeling for Visual Equivalence

Liu, Z., Ding, S., Fang, X., Dai, X., Yang, P., Liang, J., Wang, J., Chen, K., Lin, D., & Zang, Y. (2026) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 0

Case2Code: Scalable Synthetic Data for Code Generation

Shao, Y., Li, L., Ma, Y., Li, P., Song, D., Cheng, Q., Li, S., Li, X., Wang, P., Guo, Q., et al. (2024) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 0