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data/2401.00690.json

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+{"paper_url": "https://huggingface.co/papers/2401.00690", "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* [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://huggingface.co/papers/2401.03601) (2024)\n* [MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following](https://huggingface.co/papers/2312.02436) (2023)\n* [One Shot Learning as Instruction Data Prospector for Large Language Models](https://huggingface.co/papers/2312.10302) (2023)\n* [Instruction Fusion: Advancing Prompt Evolution through Hybridization](https://huggingface.co/papers/2312.15692) (2023)\n* [MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models](https://huggingface.co/papers/2401.16745) (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`"}

data/2401.03601.json

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+{"paper_url": "https://huggingface.co/papers/2401.03601", "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* [Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate](https://huggingface.co/papers/2401.16788) (2024)\n* [Leveraging Large Language Models for NLG Evaluation: A Survey](https://huggingface.co/papers/2401.07103) (2024)\n* [Benchmarking Large Language Models on Controllable Generation under Diversified Instructions](https://huggingface.co/papers/2401.00690) (2024)\n* [Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation](https://huggingface.co/papers/2401.06477) (2024)\n* [SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity](https://huggingface.co/papers/2401.17072) (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`"}

data/2401.07103.json

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+{"paper_url": "https://huggingface.co/papers/2401.07103", "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* [CoAScore: Chain-of-Aspects Prompting for NLG Evaluation](https://huggingface.co/papers/2312.10355) (2023)\n* [Large Language Models for Generative Information Extraction: A Survey](https://huggingface.co/papers/2312.17617) (2023)\n* [PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models](https://huggingface.co/papers/2401.15042) (2024)\n* [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://huggingface.co/papers/2401.03601) (2024)\n* [A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators](https://huggingface.co/papers/2312.15407) (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`"}

data/2401.16745.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2401.16745", "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* [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://huggingface.co/papers/2401.03601) (2024)\n* [Benchmarking Large Language Models on Controllable Generation under Diversified Instructions](https://huggingface.co/papers/2401.00690) (2024)\n* [ChatQA: Building GPT-4 Level Conversational QA Models](https://huggingface.co/papers/2401.10225) (2024)\n* [LongAlign: A Recipe for Long Context Alignment of Large Language Models](https://huggingface.co/papers/2401.18058) (2024)\n* [Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs](https://huggingface.co/papers/2401.01711) (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`"}

data/2401.16788.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2401.16788", "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* [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://huggingface.co/papers/2401.03601) (2024)\n* [PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models](https://huggingface.co/papers/2401.15042) (2024)\n* [LLMEval: A Preliminary Study on How to Evaluate Large Language Models](https://huggingface.co/papers/2312.07398) (2023)\n* [A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators](https://huggingface.co/papers/2312.15407) (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`"}