Zhang, Songyang
Shanghai Artificial Intelligence Laboratory
7 papers on CoChatORCID 0000-0003-4316-3320
Most cited papers
- Verified
MMBench: Is Your Multi-modal Model an All-Around Player?
Liu, Y., Duan, H., Zhang, Y., Li, B., Zhang, S., Zhao, W., Yuan, Y., Wang, J., He, C., Liu, Z., et al. (2025) · Lecture Notes in Computer Science
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 668
- Verified
MMBench: Is Your Multi-modal Model an All-around Player?
Liu, Y., Duan, H., Zhang, Y., Li, B., Zhang, S., Zhao, W., Yuan, Y., Wang, J., He, C., Liu, Z., et al. (2023) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 487
- Verified
Make-A-Video: Text-to-Video Generation without Text-Video Data
Singer, U., Polyak, A., Hayes, T., Yin, X., An, J., Zhang, S., Hu, Q., Yang, H., Ashual, O., Gafni, O., et al. (2022) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 395
- Verified
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
Chen, Z., Du, W., Zhang, W., Liu, K., Liu, J., Zheng, M., Zhuo, J., Zhang, S., Lin, D., Chen, K., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 32
- Verified
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Wu, M., Zhang, Z., Dong, Q., Xi, Z., Zhao, J., Jin, S., Fan, X., Zhou, Y., Lv, H., Zhang, M., et al. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence
Topic ModelingNatural Language Processing Techniques
Cited by 5
- Verified
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Que, H., Duan, F., He, L., Mou, Y., Zhou, W., Liu, J., Rong, W., Wang, Z. M., Yang, J., Zhang, G., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
- Verified
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
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