paper-recommendations-v2 / data /2104.08691.json
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{"paper_url": "https://arxiv.org/pdf/2104.08691", "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* [StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation](https://huggingface.co/papers/2404.19335) (2024)\n* [Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets](https://huggingface.co/papers/2404.01242) (2024)\n* [Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning](https://huggingface.co/papers/2404.12897) (2024)\n* [Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning](https://huggingface.co/papers/2404.14607) (2024)\n* [ReFT: Representation Finetuning for Language Models](https://huggingface.co/papers/2404.03592) (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`"}