---
title: "Who cites Yannis Assael — 133 papers of our library"
description: "133 papers of the Elamur Research library cite the works of Yannis Assael, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/yannis-assael/cited-by/"
---
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# Who cites Yannis Assael

163 citations of their works from 133 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · [← Yannis Assael](https://md.research.elamur.ai/free/en/authors/yannis-assael/)

1. [**Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context arXiv:2403.05530**Gemini Team, Petko Georgiev, Ving Ian Lei, et al.*2024 · 1,589 citations*](https://md.research.elamur.ai/free/en/papers/gemini-team-2024-gemini-1-5-unlocking-multimodal/)
2. [**OpenAI o1 System Card arXiv:2412.16720**OpenAI, Aaron Jaech, Adam Kalai, et al.*2024 · 1,110 citations*](https://md.research.elamur.ai/free/en/papers/openai-2024-openai-o1-system-card/)
3. [**Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities arXiv:2507.06261**Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.*2025 · 974 citations*](https://md.research.elamur.ai/free/en/papers/comanici-2025-gemini-2-5-pushing-frontier/)
4. [**Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers arXiv:2301.02111**Chengyi Wang, Sanyuan Chen, Yu Wu, et al.*2023 · 335 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-neural-codec-language-models-zero/)
5. **[Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 256 citations*
6. **[Enabling Language Models to Fill in the Blanks](https://md.research.elamur.ai/free/en/papers/donahue-2020-enabling-language-models-fill-blanks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Donahue, Mina Lee, Percy Liang*2020 · 209 citations*
7. [**LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech arXiv:1904.02882**Heiga Zen, Viet Dang, Rob Clark, et al.*2019 · 153 citations*](https://md.research.elamur.ai/free/en/papers/zen-2019-libritts-corpus-derived-librispeech-text/)
8. [**The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning arXiv:2403.03218**Nathaniel Li, Alexander Pan, Anjali Gopal, et al.*2024 · 127 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-wmdp-benchmark-measuring-reducing-malicious/)
9. **[Machine Learning for Ancient Languages: A Survey](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Thea Sommerschield, Yannis Assael, John Pavlopoulos, et al.*2023 · 124 citations*
10. [**Can LLM-Generated Misinformation Be Detected? arXiv:2309.13788**Canyu Chen, Kai Shu*2023 · 108 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-llm-generated-misinformation-detected/)
11. **[Towards Measuring and Modeling “Culture” in LLMs: A Survey](https://md.research.elamur.ai/free/en/papers/adilazuarda-2024-measuring-modeling-culture-llms-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.*2024 · 103 citations*
12. [**Towards Measuring and Modeling "Culture" in LLMs: A Survey arXiv:2403.15412**Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.*2024 · 52 citations*](https://md.research.elamur.ai/free/en/papers/adilazuarda-2024-towards-measuring-modeling-culture-llms/)
13. [**Introducing v0.5 of the AI Safety Benchmark from MLCommons arXiv:2404.12241**Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.*2024 · 38 citations*](https://md.research.elamur.ai/free/en/papers/vidgen-2024-introducing-v0-5-ai-safety/)
14. **[Measuring AI Ability to Complete Long Software Tasks](https://md.research.elamur.ai/free/en/papers/kwa-2025-measuring-ai-ability-complete/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Thomas Kwa, Ben West, Joel Becker, et al.*2025 · 36 citations*
15. [**Dating ancient manuscripts using radiocarbon and AI-based writing style analysis**Mladen Popovic, Maruf A. Dhali, Lambert Schomaker, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2024-dating-ancient-manuscripts-using-radiocarbon/)
16. [**AI Sandbagging: Language Models can Strategically Underperform on Evaluations arXiv:2406.07358**Teun van der Weij, Felix Hofstatter, Ollie Jaffe, et al.*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/weij-2024-ai-sandbagging-language-models-strategically/)
17. [**MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts**Avi Shmidman, Ometz Shmidman, Hillel Gershuni, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-msbert-new-model-reconstruction-lacunae/)
18. [**Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers**Niv Fono, Harel Moshayof, Eldar Karol, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/fono-2024-embible-reconstruction-ancient-hebrew-aramaic/)
19. [**EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs**Shai Gordin, Aleksi Sahala, Shahar Spencer, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gordin-2025-evacun-2025-shared-task-lemmatization/)
20. **[Gretino: A Greek and Latin Dataset to Benchmark Retrieval Systems in Classical Languages](https://md.research.elamur.ai/free/en/papers/toyin-2026-gretino-greek-latin-dataset-benchmark/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hawau Olamide Toyin, Federico Iezzi, Elia Scapini, et al.*2026 · 1 citation*
21. **[Language Models for the Restoration of Latin Legal Manuscripts](https://md.research.elamur.ai/free/en/papers/zhang-2026-language-models-restoration-latin-legal/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Shibingfeng Zhang, Edoardo Caraffa, Annafelicia Zuffrano, et al.*2026 · 1 citation*
22. [**At the Crossroad of Cuneiform and NLP: Challenges for Fine-grained Part-of-speech Tagging**Gustav Ryberg Smidt, Els Lefever, Katrien de Graef*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/smidt-2024-crossroad-cuneiform-nlp-challenges-fine/)
23. **[ACSE: An Ancient Character Semantic-Aware Embedding for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-acse-ancient-character-semantic-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhihan Zhou, Daqian Shi, Lida Shi, et al.*2026*
24. **[Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models](https://md.research.elamur.ai/free/en/papers/mavromatis-2026-ancient-greek-modern-greek-machine/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Spyridon Mavromatis, Sokratis Sofianopoulos, Prokopis Prokopidis, et al.*2026*
25. **[Building a Corpus and Database for Rare and Undeciphered Scripts](https://md.research.elamur.ai/free/en/papers/megyesi-2026-building-corpus-database-rare-undeciphered/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Beata Megyesi, Rune Rattenborg, Benedek Láng, et al.*2026*
26. **[Data Contamination in Neural Hieroglyphic Translation: A Reproducibility Study](https://md.research.elamur.ai/free/en/papers/toutou-2026-data-contamination-neural-hieroglyphic-translation/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Ammar Toutou, Abdelrahman Harb, Christine Basta*2026*
27. **[Draft, Verify, Restore: Self-Refining Historical Inscription Restoration with a Unified MLLM](https://md.research.elamur.ai/free/en/papers/zhang-2026-draft-verify-restore-self-refining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuyi Zhang, Junle Liu, Peirong Zhang, et al.*2026*
28. **[Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors](https://md.research.elamur.ai/free/en/papers/luo-2026-enabling-stroke-level-structural-analysis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fuwen Luo, Zihao Wan, Ziyue Wang, et al.*2026*
29. **[From Tablet to Text: AI-Assisted Reconstruction and Translation of Akkadian Passages in the Epic of Gilgamesh](https://md.research.elamur.ai/free/en/papers/mahmood-2026-tablet-text-ai-assisted-reconstruction/) [Iraqi Literary and Cultural Review (ILCR)](https://md.research.elamur.ai/free/en/venues/iraqi-literary-and-cultural-review-ilcr/)**Jasim Mohammed Mahmood, Panok Tetiana*2026*
30. **[Ithaca Revisited: Benchmarking a Domain-Specific Model for Epigraphy in the Age of LLMs](https://md.research.elamur.ai/free/en/papers/locaputo-2026-ithaca-revisited-benchmarking-domain-specific/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Alessandro Locaputo, Andrea Brunello, Nicola Saccomanno, et al.*2026*
31. [**TabletCraft: Bridging a 4,000-Year Cultural Gap with Bidirectional Akkadian NMT and Cuneiform Rendering**Zhaohui Geoffrey Wang*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-tabletcraft-bridging-4-000-year/)
32. **[Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages](https://md.research.elamur.ai/free/en/papers/voinea-2026-validator-guided-hard-negative-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrei Voinea*2026*
33. [**AI-Driven Generation of Old English: A Framework for Low-Resource Languages**Rodrigo Gabriel Salazar Alva, Matias Nunez, Cristian Lopez, et al.*2025*](https://md.research.elamur.ai/free/en/papers/alva-2025-ai-driven-generation-old-english/)
34. [**Large Language Models and Biblical Hebrew: Limitations, pitfalls, opportunities**Camil Staps*2024*](https://md.research.elamur.ai/free/en/papers/staps-2024-large-language-models-biblical-hebrew/)
35. [**Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material**Solomon Tannor, Nachum Dershowitz, Moshe Lavee*2022*](https://md.research.elamur.ai/free/en/papers/tannor-2022-style-classification-rabbinic-literature-detection/)

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

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