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data/2501.10322.json

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+{"paper_url": "https://huggingface.co/papers/2501.10322", "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* [Overcoming Vocabulary Constraints with Pixel-level Fallback](https://huggingface.co/papers/2504.02122) (2025)\n* [Langformers: Unified NLP Pipelines for Language Models](https://huggingface.co/papers/2504.09170) (2025)\n* [From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models](https://huggingface.co/papers/2505.00033) (2025)\n* [LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM](https://huggingface.co/papers/2503.04724) (2025)\n* [Splintering Nonconcatenative Languages for Better Tokenization](https://huggingface.co/papers/2503.14433) (2025)\n* [HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization](https://huggingface.co/papers/2504.21018) (2025)\n* [TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling](https://huggingface.co/papers/2504.07053) (2025)\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/2503.10814.json

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+{"paper_url": "https://huggingface.co/papers/2503.10814", "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* [Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models](https://huggingface.co/papers/2503.24377) (2025)\n* [A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions](https://huggingface.co/papers/2504.09100) (2025)\n* [Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models](https://huggingface.co/papers/2503.16419) (2025)\n* [A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond](https://huggingface.co/papers/2503.21614) (2025)\n* [Efficient Reasoning Models: A Survey](https://huggingface.co/papers/2504.10903) (2025)\n* [A Survey of Scaling in Large Language Model Reasoning](https://huggingface.co/papers/2504.02181) (2025)\n* [Reasoning Beyond Limits: Advances and Open Problems for LLMs](https://huggingface.co/papers/2503.22732) (2025)\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/2504.12216.json

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+{"paper_url": "https://huggingface.co/papers/2504.12216", "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* [Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1](https://huggingface.co/papers/2503.24376) (2025)\n* [Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning](https://huggingface.co/papers/2503.09516) (2025)\n* [Reinforcement Learning for LLM Reasoning Under Memory Constraints](https://huggingface.co/papers/2504.20834) (2025)\n* [Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math](https://huggingface.co/papers/2504.21233) (2025)\n* [Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't](https://huggingface.co/papers/2503.16219) (2025)\n* [Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model](https://huggingface.co/papers/2503.24290) (2025)\n* [SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models](https://huggingface.co/papers/2504.11468) (2025)\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`"}