Hi! I’m Zhuo Chen (陈卓), a Ph.D. student at ShanghaiTech University, supervised by Prof. Kewei Tu.

My research focuses on Natural Language Processing (NLP). Recently, I was doing research related to (Multimodal) LLMs, RAG and Continue Pre-train (CPT) towards DeepResearch of LLMs at Tongyi Lab, Alibaba. I am currently doing research related to DeepResearch agentic models Mid-training and Post-training.

🔥 News

• 2026.08 Release Apodex 1.1: Scaling Agentic Intelligence for Complex Work!
  • Website | Paper | GitHub | Model Weights | API
• 2026.06 Release Apodex 1.0: Self-Evolving Heavy-Duty Solver!
  • Website | Paper | GitHub | Model Weights
• 2026.01 Two papers accepted by ICLR 2026!
• 2025.11 Release Tongyi DeepResearch Technical Report!
  • Paper | GitHub | Web Page | Blog | Hugging Face | ModelScope | Hugging Face Daily Paper
• 2025.09 Early work on mid-training (Agentic CPT) to strengthen agentic capabilities
  • Paper: Scaling Agents via Continual Pre-training

📝 Publications

(* Equal Contribution)

• Apodex 1.1: Scaling Agentic Intelligence for Complex Work, GitHub 5.4k ⭐️. 6,586 Downloads last month.

• Apodex-1.0: A Verification-Centric Agent Team for Discoverative Intelligence, GitHub 459 ⭐️. 11,713 Downloads last month.

• FrontierChallenge: Evaluating Scientific Workflow Completion. Liangcai Su*, Zhaopeng Feng*, Zhuo Chen*, Zhen Zhang*, Xiang Lin, Ruilin Li, Handuo Zhang, Ning Wang, Kailong Wen, Yueqi Guo, Feng Xing, Yiling Guo, Brian Wang, Chenxiong Qian, Simon Shaolei Du, Lidong Bing, Xinyu Wang.

• Tongyi DeepResearch Technical Report, GitHub 20.1k ⭐️.

• Dependency-Aware Trajectory Refinement for Efficient Multi-Turn Agent Fine-Tuning. Zhuo Chen, Zhen Zhang, Xinyu Wang, Kewei Tu. In Findings of the 2026 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL).

• Efficient Multimodal Planning Agent for Visual Question-Answering. Zhuo Chen*, Xinyu Geng*, Xinyu Wang, Yong Jiang, Zhen Zhang, Pengjun Xie, Fei Huang, Kewei Tu. In Findings of the 2026 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL).

• Argus: Evidence Assembly for Scalable Deep Research Agents. Zhen Zhang*, Liangcai Su*, Zhuo Chen*, Xiang Lin, Haotian Xu, Kaiyu Yang, Bo An, Simon Du, Lidong Bing, Xinyu Wang.

• Scaling Agents via Continual Pre-training. Liangcai Su*, Zhen Zhang*, Guangyu Li*, Zhuo Chen*, Chenxi Wang*, Maojia Song, Xinyu Wang*, etc. In Proceedings of the 2026 International Conference on Learning Representations (ICLR).

• Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference. Zhuo Chen, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinyu Geng, Pengjun Xie, Fei Huang, Kewei Tu. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).

• Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu. In Findings of the 2024 Annual Meeting of the Association for Computational Linguistics (ACL).

• Using Interpretation Methods for Model Enhancement. Zhuo Chen, Chengyue Jiang, Kewei Tu. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

• Repurposing Synthetic Data for Fine-grained Search Agent Supervision. Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Dingchu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Jingren Zhou, Yong Jiang. In Proceedings of the 2026 International Conference on Learning Representations (ICLR).

• Incorporating Explicit and Implicit Chain-of-Thought as Hybrid Reasoning Paradigm with Guided Latent Space Modeling. Guangyu Li, Zhekai Ge, Zhuo Chen, Zhen Zhang, Xinyu Wang, Yong Jiang, Kewei Tu. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP).

• KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models. Zhen Zhang, Xinyu Wang, Yong Jiang, Zile Qiao, Zhuo Chen, Guangyu Li, Feiteng Mu, Mengting Hu, Pengjun Xie, Fei Huang. In Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).

🎖 Honors and Awards

• 2024–2025 ShanghaiTech Outstanding Student (Top 10%)
• 2023–2024 ShanghaiTech Outstanding Student (Top 10%)
• 2021 ShanghaiTech Outstanding Graduate (Top 10%)
• 2019–2020 Third Prize of ShanghaiTech University Scholarship (Top 8%)
• 2019–2020 Outstanding Student: For outstanding students who had contribution to the University (Top 10%)
• 2019 MCM Meritorious Winner (Top 7.09%)
• 2018–2019 Second Prize of ShanghaiTech University Scholarship (Top 5%)

📖 Education

• 2026.04–present, NTU, College of Computing and Data Science, Visiting Student advised by Bo An.
• 2021–present, ShanghaiTech University, Ph.D. advised by Prof. Kewei Tu.
• 2017–2021, ShanghaiTech University, B.S. in Computer Science.

💻 Internships

• 2026.04–2026.09, Apodex, Research Intern.
• 2023.08–2026.03, Tongyi Lab, Alibaba (DAMO Academy previously).