---
title: "Who cites Caio Corro — 185 papers of our library"
description: "185 papers of the Elamur Research library cite the works of Caio Corro, found in their bibliographies; the most cited first."
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---
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# Who cites Caio Corro

186 citations of their works from 185 papers of our library (of the 149,439 whose bibliographies we read) · 30 with a page here, the most cited first · [← Caio Corro](https://md.research.elamur.ai/free/en/authors/caio-corro/)

1. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model arXiv:2402.07827**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 253 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
2. [**Tower: An Open Multilingual Large Language Model for Translation-Related Tasks arXiv:2402.17733**Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.*2024 · 227 citations*](https://md.research.elamur.ai/free/en/papers/alves-2024-tower-open-multilingual-large-language/)
3. [**FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language arXiv:2506.20920**Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.*2025 · 99 citations*](https://md.research.elamur.ai/free/en/papers/penedo-2025-fineweb2-one-pipeline-scale-them/)
4. **[Retrieval-Augmented Generation for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/wu-2024-retrieval-augmented-generation-natural-language/) [Artificial Intelligence Review](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/)**Shangyu Wu, Ying Xiong, Yufei Cui, et al.*2024 · 86 citations*
5. [**mmBERT: A Modern Multilingual Encoder with Annealed Language Learning arXiv:2509.06888**Marc Marone, Orion Weller, William Fleshman, et al.*2025 · 59 citations*](https://md.research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/)
6. [**Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in? arXiv:2408.10811**Chengzhi Zhong, Fei Cheng, Qianying Liu, et al.*2024 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-english-centric-llms-language-multilingual/)
7. [**InternLM-Law: An Open Source Chinese Legal Large Language Model arXiv:2406.14887**Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/)
8. [**Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck arXiv:2404.07647**Nathan Godey, Eric de la Clergerie, Benoit Sagot*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/godey-2024-why-small-language-models-underperform/)
9. **[New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models](https://md.research.elamur.ai/free/en/papers/wunderle-2026-new-encoders-german-trained-scratch/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.*2026 · 7 citations*
10. **[RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services](https://md.research.elamur.ai/free/en/papers/zhao-2026-redone-2-0-rethinking-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei zhao, Chonggang Lu, Haofu Qian, et al.*2026 · 2 citations*
11. **[Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining](https://md.research.elamur.ai/free/en/papers/zhou-2026-robust-uncertainty-quantification-self-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zhou, Lu Cheng*2026 · 2 citations*
12. **[Transforming Causal LLM into MLM Encoder for Detecting Social Media Manipulation in Telegram](https://md.research.elamur.ai/free/en/papers/bazdyrev-2025-transforming-causal-llm-into-mlm/) [Ukrainian Natural Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/unlp/)**Anton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi, et al.*2025 · 2 citations*
13. **[CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in Welsh](https://md.research.elamur.ai/free/en/papers/waqar-2026-cefr-cymraeg-dataset-baseline-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Eeshan Waqar, Jonathan Davies, Dawn Knight, et al.*2026 · 1 citation*
14. **[HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models](https://md.research.elamur.ai/free/en/papers/oepen-2026-hplt-3-0-very-large/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.*2026 · 1 citation*
15. **[QuALA-NL: Question & Answer with Legal Attribution in Dutch](https://md.research.elamur.ai/free/en/papers/drie-2026-quala-nl-question-answer-legal/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Romy A.N. van Drie, Roos M. Bakker, Daan L. Di Scala, et al.*2026 · 1 citation*
16. **[SindBERT, the Sailor: Charting the Seas of Turkish NLP](https://md.research.elamur.ai/free/en/papers/schmitt-2026-sindbert-sailor-charting-seas-turkish/) [Workshop Natural Language Processing for Turkic Languages](https://md.research.elamur.ai/free/en/venues/sigturk/)**Raphael Schmitt, Stefan Schweter*2026 · 1 citation*
17. **[UMUTeam at SemEval-2026 Task 10: Transformer Ensembles for Conspiratorial Span Extraction and Detection](https://md.research.elamur.ai/free/en/papers/navalon-2026-umuteam-semeval-2026-task-10/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jorge Gómez-Navalón, Ronghao Pan, Tomás Bernal-Beltrán, et al.*2026 · 1 citation*
18. **[A multilingual hallucination benchmark](https://md.research.elamur.ai/free/en/papers/thoresen-2026-multilingual-hallucination-benchmark/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Freja Thoresen, Dan Saattrup Smart*2026*
19. **[AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from Scratch](https://md.research.elamur.ai/free/en/papers/niyogi-2026-ayn-tiny-yet-competitive-indian/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya*2026*
20. **[Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite](https://md.research.elamur.ai/free/en/papers/thellmann-2026-diagnosing-translated-benchmarks-automated-quality/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Klaudia Thellmann, Bernhard Stadler, Michael Färber*2026*
21. **[EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions](https://md.research.elamur.ai/free/en/papers/noel-2026-eiffel-novel-benchmark-measure-bias/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.*2026*
22. **[GATech at AbjadMed: Bidirectional Encoders vs. Causal Decoders: Insights from 82-Class Arabic Medical Classification](https://md.research.elamur.ai/free/en/papers/khamis-2026-gatech-abjadmed-bidirectional-encoders-vs/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ahmed Khamis*2026*
23. **[GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026*
24. [**GradeLegal: Automated Grading for German Legal Cases arXiv:2605.21076**Abdullah Al Zubaer, Lorenz Wendlinger, Simon Alexander Nonn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zubaer-2026-gradelegal-automated-grading-german-legal/)
25. [**Ideology Prediction of German Political Texts arXiv:2605.14352**Sinclair Schneider, Florian Steuber, Joao A. G. Schneider, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schneider-2026-ideology-prediction-german-political-texts/)
26. **[Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks](https://md.research.elamur.ai/free/en/papers/tsunokake-2026-is-micro-domain-adaptive-pre/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Masaya Tsunokake, Yuta Koreeda, Terufumi Morishita, et al.*2026*
27. **[Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation](https://md.research.elamur.ai/free/en/papers/thellmann-2026-quantifying-impact-translation-errors-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.*2026*
28. [**Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling arXiv:2604.28075**Ansar Aynetdinov, Patrick Haller, Alan Akbik*2026*](https://md.research.elamur.ai/free/en/papers/aynetdinov-2026-repetition-over-diversity-high-signal/)
29. **[SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents](https://md.research.elamur.ai/free/en/papers/wastl-2026-swissgov-rsd-human-annotated-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michelle Wastl, Jannis Vamvas, Rico Sennrich*2026*
30. **[ViLegalLM: Language Models for Vietnamese Legal Text](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vilegallm-language-models-vietnamese-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Truong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen*2026*

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

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