Taolin Zhang

According to our database, Taolin Zhang authored at least 21 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization.

Taolin Zhang, Hang Guo, Wang Lu, Tao Dai, Shu-Tao Xia, Jindong Wang

CoRR, February, 2026

2025

ATLAS: A High-Difficulty, Multidisciplinary Benchmark for Frontier Scientific Reasoning.

Hongwei Liu, Junnan Liu, Shudong Liu, Haodong Duan, Yuqiang Li, Mao Su, Xiaohong Liu, Guangtao Zhai, Xinyu Fang, Qianhong Ma, Taolin Zhang, Zihan Ma, Yufeng Zhao, Peiheng Zhou, Linchen Xiao, Wenlong Zhang, Shijie Zhou, Xingjian Ma, Siqi Sun, Jiaye Ge, Meng Li, Yuhong Liu, Jianxin Dong, Jiaying Li, Hui Wu, Hanwen Liang, Jintai Lin, Yanting Wang, Jie Dong, Tong Zhu, Tianfan Fu, Conghui He, Qi Zhang, Songyang Zhang, Lei Bai, Kai Chen

CoRR, November, 2025

How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task Complexity.

Zihan Ma, Dongsheng Zhu, Shudong Liu, Taolin Zhang, Junnan Liu, Qingqiu Li, Minnan Luo, Songyang Zhang, Kai Chen

CoRR, November, 2025

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards.

Taolin Zhang, Maosong Cao, Alexander Lam, Songyang Zhang, Kai Chen

CoRR, July, 2025

Rethinking Verification for LLM Code Generation: From Generation to Testing.

Zihan Ma, Taolin Zhang, Maosong Cao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen

CoRR, July, 2025

Coding Triangle: How Does Large Language Model Understand Code?

Taolin Zhang, Zihan Ma, Maosong Cao, Junnan Liu, Songyang Zhang, Kai Chen

CoRR, July, 2025

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective.

Junnan Liu, Hongwei Liu, Linchen Xiao, Shudong Liu, Taolin Zhang, Zihan Ma, Songyang Zhang, Kai Chen

CoRR, May, 2025

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement.

Maosong Cao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Haodong Duan, Songyang Zhang, Kai Chen

CoRR, January, 2025

NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities.

Mo Li, Songyang Zhang, Taolin Zhang, Haodong Duan, Yunxin Liu, Kai Chen

Trans. Mach. Learn. Res., 2025

Rethinking Verification for LLM Code Generation: From Generation to Testing.

Zihan Ma, Taolin Zhang, Maosongcao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning.

Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement.

Maosongcao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Conghui He, Haodong Duan, Songyang Zhang, Kai Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.

Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng

ACM Trans. Knowl. Discov. Data, February, 2024

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.

Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia

CoRR, 2024

Towards Scalable Semantic Representation for Recommendation.

Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia

CoRR, 2024

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.

Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.

Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach.

Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia

Proceedings of the Computer Vision - ECCV 2024, 2024

Multimodal Label Relevance Ranking via Reinforcement Learning.

Taian Guo, Taolin Zhang, Haoqian Wu, Hanjun Li, Ruizhi Qiao, Xing Sun

Proceedings of the Computer Vision - ECCV 2024, 2024

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.

Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.

Taolin Zhang, Chuan Chen, Yaomin Chang, Lin Shu, Zibin Zheng

CoRR, 2022