Song, Huatong

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Song, H., Jiang, J., Min, Y., Chen, J., Chen, Z., Zhao, W. X., Fang, L., & Wen, J.-R. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 7

Computer Environments Elicit General Agentic Intelligence in LLMs

Cheng, D., Huang, S., Gu, Y., Song, H., Chen, G., Dong, L., Zhao, W. X., Wen, J.-R., & Wei, F. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Evo-Bench: Can Language Models Improve Agent Harness?

Huang, L., Yang, C., Zhou, H., Song, H., Chen, Z., Le, R., Song, Y., Zhao, W. X., & Zhang, T. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0

Nanbeige4.2-3B: Unlocking Agentic Capabilities in a Compact Model

Lab, N., :, Yang, C., Huang, C., Lan, F., Chen, H., Zhou, H., Song, H., Cao, J., Zhu, J., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training

Song, H., Huang, L., Sun, S., Jiang, J., Le, R., Cheng, D., Chen, G., Hu, Y., Chen, Z., Jia, Y., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0