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Wanli-Lee/README.md

Wanli Li · 李万里

PhD student @ Zhejiang University · Research Intern @ Qwen

Homepage · Google Scholar · Email

My research focuses on computer-use agents and agentic reinforcement learning, spanning learning algorithms and training infrastructure. I'm also interested in multimodal generation and alignment.

LiteResearcher stars WeaveBench stars OmniGen2 stars LoopX stars

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  1. simplexai-labs/LiteResearcher simplexai-labs/LiteResearcher Public

    [COLM 2026] A Scalable Agentic RL Training Framework for Deep Research Agent

    Python 134 6

  2. weavebench/WeaveBench weavebench/WeaveBench Public

    [EMNLP 2026] WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces

    Python 174 5

  3. loopx-project/loopx loopx-project/loopx Public

    Turn long-horizon goals into verifiable results. A local-first semantic control plane and research workbench for long-running agent teams, across sessions and runtimes.

    Python 6.6k 618

  4. vllm-project/vllm vllm-project/vllm Public

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python 96.8k 24.7k

  5. sgl-project/sglang sgl-project/sglang Public

    SGLang is a high-performance serving framework for large language models and multimodal models.

    Python 38.8k 10.4k

  6. xlang-ai/OSWorld xlang-ai/OSWorld Public

    [NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

    Python 3.3k 558