paper-recommendations-v2 / data /2301.03988.json
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{"paper_url": "https://huggingface.co/papers/2301.03988", "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* [Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks](https://huggingface.co/papers/2403.04814) (2024)\n* [CodeShell Technical Report](https://huggingface.co/papers/2403.15747) (2024)\n* [StarCoder 2 and The Stack v2: The Next Generation](https://huggingface.co/papers/2402.19173) (2024)\n* [EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories](https://huggingface.co/papers/2404.00599) (2024)\n* [Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study](https://huggingface.co/papers/2403.15185) (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`"}