Researcher

Chenxu Lv

Chenxu Lv is an AI researcher whose work spans dialogue systems, language models, multimodal AI, and robotics. They coauthored papers on dialogue clustering and visual dialogue in 2021, then a TaskFlow chatbot study in 2022. Their work moved into large language models with Baichuan 2 in 2023 and Qwen3 and Qwen3-VL in 2025. In 2026, they coauthored Qwen-RobotNav and DeepPlanning. As of October 2026, they are affiliated with Alibaba Group's Qwen Team.

Now at
Alibaba
Works
16
Citations
301
h-index
3

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2021

    Dialogue clustering and visual dialogue

    Dialogue research in 2021 includes a paper they coauthor on task-oriented clustering and another that models which visual content matters at each turn.

  2. 2022

    TaskFlow after-sales chatbot

    They coauthor a 2022 paper that introduces Dialogue Actions and TaskFlow, a tree-structured chatbot for real-world after-sales services.

  3. 2023

    Baichuan 2 language models

    Baichuan 2, which they coauthor in 2023, comprises multilingual models with 7 billion and 13 billion parameters trained on 2.6 trillion tokens.

  4. 2025

    Qwen3 technical report

    With Qwen3 in 2025, they coauthor a report on dense and mixture-of-experts language models with thinking and non-thinking modes developed by Alibaba Cloud's Qwen team.

  5. November 2025

    Qwen3-VL vision-language model

    Their November 2025 Qwen3-VL report covers a vision-language model that integrates text, images, and video with a native 256K-token context.

  6. 2026

    RobotNav and DeepPlanning

    During 2026, they coauthor Qwen-RobotNav, a navigation model built on Qwen3-VL, and DeepPlanning, a benchmark for long-horizon agent planning in travel and shopping.

  7. As of October 2026

    Qwen Team affiliation

    As of October 2026, they are affiliated with Alibaba Group's Qwen Team.

Most-cited works

  1. Qwen3 Technical Report2025 · 147 citationsWith Baosong Yang, Beichen Zhang, Chengen Huang, Chujie Zheng, Fei Huang and Le Yu
  2. Baichuan 2: Open Large-scale Language Models2023 · 125 citations
  3. Qwen3-VL Technical Report2025 · 26 citationsWith Chang Gao, Fei Huang and Rui Men
  4. Task-Oriented Clustering for Dialogues2021 · 3 citations
  5. Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue2021 · British Machine Vision Conference (BMVC) · 2 citations

Sources and credits

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  1. Task-Oriented Clustering for Dialogues - ACL Anthology aclanthology.org. Checked 19 October 2026.
  2. Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue arxiv.org. Checked 19 October 2026.
  3. A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example arxiv.org. Checked 19 October 2026.
  4. Baichuan 2: Open Large-scale Language Models arxiv.org. Checked 19 October 2026.
  5. Qwen3 Technical Report arxiv.org. Checked 19 October 2026.
  6. GitHub - QwenLM/Qwen3: Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. github.com. Checked 19 October 2026.
  7. Qwen3-VL Technical Report arxiv.org. Checked 19 October 2026.
  8. Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System arxiv.org. Checked 19 October 2026.
  9. DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints arxiv.org. Checked 19 October 2026.
  10. DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints - ACL Anthology aclanthology.org. Checked 19 October 2026.