🔗 Who cites «xVal: A Continuous Numerical Tokenization for Scientific Language Models»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «xVal: A Continuous Numerical Tokenization for Scientific Language Models»

1. Transformers Can Do Arithmetic with the Right EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Sean McLeish, Arpit Bansal, Alex Stein, et al.2024 · 36 citations
2. Retrofitting Large Language Models with Dynamic TokenizationAnnual Meeting of the Association for Computational Linguistics (ACL)Darius Feher, Ivan Vulić, Benjamin Minixhofer2025 · 11 citations
3. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingarXiv:2310.02227Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.2023 · 8 citations

8 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/golkar-2023-xval-continuous-numerical-tokenization-scientific/cited-by/