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Search Agent Post-Training | Together with [XYZ AI Lab](https://xyz-lab.ai/), we applied the R&D-Agent method to the search-agent setting, covering the full pipeline end to end. The open-sourced building blocks are :octocat: [axrl](https://github.com/XYZ-AI-Lab/axrl) for infra and :octocat: [AxisAgentic](https://github.com/XYZ-AI-Lab/AxisAgentic) for the harness. |
| ICML 2026 Acceptance | We are thrilled to announce that our paper [FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents](https://arxiv.org/abs/2603.01712) has been accepted to ICML 2026. The FT-Agent implementation is available in the [LLM fine-tuning guide](rdagent/app/finetune/llm/README.md). |
| ACL 2026 Findings Acceptance | We are thrilled to announce that our paper [Reasoning as Gradient](https://arxiv.org/abs/2603.01692) has been accepted to ACL 2026 Findings. Execution traces are available at [Gome GPT-5 Traces](https://huggingface.co/datasets/amstrongzyf/Gome-GPT5-Traces) |
| Web UI Release | We release a new frontend that can be built and served by `rdagent server_ui` for real-time interaction and trace viewing, currently excluding the `data_science` scenario. |
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For running R&D-Agent on MLE-bench, refer to **[MLE-bench Guide: Running ML Engineering via MLE-bench](https://rdagent.readthedocs.io/en/latest/scens/data_science.html)**
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