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{"paper_url": "https://huggingface.co/papers/2406.08587", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark](https://huggingface.co/papers/2405.12209) (2024)\n* [MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://huggingface.co/papers/2406.01574) (2024)\n* [Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset](https://huggingface.co/papers/2405.10542) (2024)\n* [MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions](https://huggingface.co/papers/2405.19444) (2024)\n* [CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization](https://huggingface.co/papers/2405.04781) (2024)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}
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