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+{"paper_url": "https://huggingface.co/papers/2406.04156", "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* [Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models](https://huggingface.co/papers/2406.01863) (2024)\n* [SEP: Self-Enhanced Prompt Tuning for Visual-Language Model](https://huggingface.co/papers/2405.15549) (2024)\n* [Toward Exploring the Code Understanding Capabilities of Pre-trained Code Generation Models](https://huggingface.co/papers/2406.12326) (2024)\n* [Never Miss A Beat: An Efficient Recipe for Context Window Extension of Large Language Models with Consistent \"Middle\" Enhancement](https://huggingface.co/papers/2406.07138) (2024)\n* [NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models](https://huggingface.co/papers/2405.17428) (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`"}