---
title: "Who cites Anything Goes? A Crosslinguistic — 7 citing papers"
description: "7 papers of the Elamur Research library cite «Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/yang-2025-anything-goes-crosslinguistic-study-im/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Anything Goes? A Crosslinguistic Study of…](https://md.research.elamur.ai/free/en/papers/yang-2025-anything-goes-crosslinguistic-study-im/) / cited by

# Who cites «Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs»](https://md.research.elamur.ai/free/en/papers/yang-2025-anything-goes-crosslinguistic-study-im/)

1. **[Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible](https://md.research.elamur.ai/free/en/papers/ziv-2026-biasless-language-models-learn-unnaturally/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Imry Ziv, Nur Lan, Emmanuel Chemla*2026 · 3 citations*
2. **[Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language Models](https://md.research.elamur.ai/free/en/papers/martins-2026-vocabulary-shapes-cross-lingual-variation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/yang-2025-anything-goes-crosslinguistic-study-im/) — Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
