Qi, Biqing

TTRL: Test-Time Reinforcement Learning

Zuo, Y., Zhang, K., Sheng, L., Qu, S., Cui, G., Zhu, X., Li, H., Zhang, Y., Long, X., Hua, E., et al. (2025) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 7

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Qi, B., Zhang, K., Tian, K., Li, H., Chen, Z.-R., Zeng, S., Hua, E., Jinfang, H., & Zhou, B. (2024) · arXiv

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 5

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Liu, R., Gao, J., Zhao, J., Zhang, K., Li, X., Qi, B., Ouyang, W., & Zhou, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

On the token distance modeling ability of higher RoPE attention dimension

Hong, X., Jiang, C., Qi, B., Meng, F., Yu, M., Zhou, B., & Zhou, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data

Liu, Z., Xie, J., Ding, Z., Li, Z., Yang, B., Wu, Z., Wang, X., Sun, Q., Liu, S., Wang, W., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsInformation Retrieval and Search Behavior

Cited by 0