---
title: "Who cites Sina Zarrieß"
description: "63 papers of the Elamur Research library cite the works of Sina Zarrieß, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/sina-zarriess/cited-by/"
---
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# Who cites Sina Zarrieß

68 citations of their works from 63 papers of our library (of the 140,884 whose bibliographies we read) · 13 with a page here, the most cited first · [← Sina Zarrieß](https://md.research.elamur.ai/free/en/authors/sina-zarriess/)

1. [**Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2021 · 90 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-perspective-taking-pragmatics-generating-empathetic/)
2. [**Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2020 · 82 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-will-i-sound-like-me/)
3. [**Underspecifying and Predicting Voice for Surface Realisation Ranking**Sina Zarrieß, Aoife Cahill, Jonas Kuhn*2011 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zarriess-2011-underspecifying-predicting-voice-surface-realisation/)
4. [**Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models**Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/padovani-2025-child-directed-language-does-not/)
5. [**Fast and Accurate Non-Projective Dependency Tree Linearization**Xiang Yu, Simon Tannert, Ngoc Thang Vu, et al.*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-fast-accurate-non-projective-dependency/)
6. [**Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models**Raha Askari, Sina Zarrieß, Özge Alacam, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/)
7. [**Neural Surface Realization for Italian**Valerio Basile, Alessandro Mazzei*2018 · 4 citations*](https://md.research.elamur.ai/free/en/papers/basile-2018-neural-surface-realization-italian/)
8. [**TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew**Anita Gelboim, Elior Sulem*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gelboim-2025-tafberta-learning-grammatical-rules-small/)
9. [**Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/)
10. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
11. [**Child-directed speech facilitates production, not comprehension, in BabyLMs**Bastian Bunzeck, Sina Zarrieß*2026*](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/)
12. [**LLMs Out-of-the-Box Do Not Generate Context-Appropriate Word Order in Russian**Alina Shabaeva, John Frederick Bailyn, Owen Rambow*2026*](https://md.research.elamur.ai/free/en/papers/shabaeva-2026-llms-out-box-do-not/)
13. [**The Frequency Confound in Language-Model Surprisal and Metaphor Novelty**Omar Momen, Sina Zarrieß*2026*](https://md.research.elamur.ai/free/en/papers/momen-2026-frequency-confound-language-model-surprisal/)

50 more citing papers of our library have no page here yet.

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