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  - Qwen/Qwen2.5-7B-Instruct
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+ # MachineLearningLM
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+ ## model summary
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+ Can LLMs learn from 1,000 in-context examples?
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+ Introducing **MachineLearningLM** 🧪📊 — a model continuously pretrained on millions of synthetic tabular ML tasks, enabling robust many-shot in-context learning.
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+ 📈 **Scales from 8 to 1,024 examples**
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+ 📈 ​**​~15% improvement​**​ on unseen tabular tasks compared to o3-mini / GPT-5-mini / Qwen-2.5-7B
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+ 🌲 ​**​Random-Forest–level robustness​**​
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+ 🧠 ​**​MMLU score: 75.4%​**​
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+ 📄 Read the paper: https://arxiv.org/abs/2509.06806
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+ <img src="https://github.githubassets.com/favicons/favicon.svg" width="16" height="16"> GitHub: https://github.com/HaoAreYuDong/MachineLearningLM
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+ ## evaluation and validation
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+ We have developed an automated evaluation framework — simply configure the parameters to easily perform validation and evaluation. The code is now open-sourced at our GitHub.
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+ ### **Quick Start**
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+ ```bash
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+ pip install -r requirement.txt
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+ python ./src/evaluation/model_pred/dl_model_pred.py \
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+ --input_dir ./demo_input.jsonl \
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+ --output_dir ./demo_output.jsonl \
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+ --model_name hf_repo/model_name
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+ ```
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+ For more usage details, please visit our GitHub.
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