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{"paper_url": "https://huggingface.co/papers/2309.07462", "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* [Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs](https://huggingface.co/papers/2410.13394) (2024)\n* [Instruction-Tuned LLMs Succeed in Document-Level MT Without Fine-Tuning -- But BLEU Turns a Blind Eye](https://huggingface.co/papers/2410.20941) (2024)\n* [MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models](https://huggingface.co/papers/2410.17578) (2024)\n* [What do Large Language Models Need for Machine Translation Evaluation?](https://huggingface.co/papers/2410.03278) (2024)\n* [MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems](https://huggingface.co/papers/2410.13716) (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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