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- data/2401.02132.json +1 -0
- data/2401.04518.json +1 -0
- data/2401.17072.json +1 -0
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{"paper_url": "https://huggingface.co/papers/2312.15407", "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* [Leveraging Large Language Models for NLG Evaluation: A Survey](https://huggingface.co/papers/2401.07103) (2024)\n* [SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity](https://huggingface.co/papers/2401.17072) (2024)\n* [BatchEval: Towards Human-like Text Evaluation](https://huggingface.co/papers/2401.00437) (2023)\n* [CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation](https://huggingface.co/papers/2401.01275) (2024)\n* [DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models](https://huggingface.co/papers/2401.02208) (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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data/2401.02132.json
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{"paper_url": "https://huggingface.co/papers/2401.02132", "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* [Leveraging Large Language Models for NLG Evaluation: A Survey](https://huggingface.co/papers/2401.07103) (2024)\n* [SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity](https://huggingface.co/papers/2401.17072) (2024)\n* [CoAScore: Chain-of-Aspects Prompting for NLG Evaluation](https://huggingface.co/papers/2312.10355) (2023)\n* [The Critique of Critique](https://huggingface.co/papers/2401.04518) (2024)\n* [Self-Evaluation Improves Selective Generation in Large Language Models](https://huggingface.co/papers/2312.09300) (2023)\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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data/2401.04518.json
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{"paper_url": "https://huggingface.co/papers/2401.04518", "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* [Leveraging Large Language Models for NLG Evaluation: A Survey](https://huggingface.co/papers/2401.07103) (2024)\n* [Reasons to Reject? Aligning Language Models with Judgments](https://huggingface.co/papers/2312.14591) (2023)\n* [DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models](https://huggingface.co/papers/2401.02132) (2024)\n* [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://huggingface.co/papers/2401.03601) (2024)\n* [LLMEval: A Preliminary Study on How to Evaluate Large Language Models](https://huggingface.co/papers/2312.07398) (2023)\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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data/2401.17072.json
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{"paper_url": "https://huggingface.co/papers/2401.17072", "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* [Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation](https://huggingface.co/papers/2401.06568) (2024)\n* [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://huggingface.co/papers/2401.03601) (2024)\n* [DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models](https://huggingface.co/papers/2401.02132) (2024)\n* [Leveraging Large Language Models for NLG Evaluation: A Survey](https://huggingface.co/papers/2401.07103) (2024)\n* [Automated Assessment of Students' Code Comprehension using LLMs](https://huggingface.co/papers/2401.05399) (2023)\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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