🧑‍🔬 Who cites Alejandro Hernández-Cano

241 citations of their works from 239 papers of our library (of the 141,840 whose bibliographies we read) · 19 with a page here, the most cited first · ← Alejandro Hernández-Cano

Benchmarking Retrieval-Augmented Generation for MedicineFindings of the Association for Computational LinguisticsGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 426 citations
1. Tower: An Open Multilingual Large Language Model for Translation-Related TasksarXiv:2402.17733Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 226 citations
2. Towards Building Multilingual Language Model for MedicinearXiv:2402.13963Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, et al.2024 · 183 citations
3. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
4. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 101 citations
5. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
   Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.2025 · 75 citations
   MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningConference on Neural Information Processing Systems (NeurIPS)Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.2024 · 70 citations
6. Bilingual Adaptation of Monolingual Foundation ModelsarXiv:2407.12869Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, et al.2024 · 7 citations
   Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine TranslationLanguage Resources and Evaluation Conference (LREC)Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, et al.2026 · 3 citations
7. Bridging Language Barriers in Healthcare: A Study on Arabic LLMsarXiv:2501.09825Nada Saadi, Tathagata Raha, Clement Christophe, et al.2025 · 3 citations
   Are the LLMs Capable of Maintaining at Least the Language Genus?Language Resources and Evaluation Conference (LREC)Sandra Mitrović, David Kletz, Ljiljana Dolamic, et al.2026
   AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from ScratchLanguage Resources and Evaluation Conference (LREC)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026
8. Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer SelectionarXiv:2608.00207 · Findings of the Association for Computational Linguistics: EMNLP 2026Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan, et al.2026
   EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
   Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusLanguage Resources and Evaluation Conference (LREC)Aidan Mannion, Cécile Macaire, Armand Violle, et al.2026
   J-ClinicalBench: A Benchmark for Evaluating Large Language Models on Practical Clinical Tasks in JapaneseLanguage Resources and Evaluation Conference (LREC)Seiji Shimizu, Tomohiro Nishiyama, HISADA Shohei, et al.2026
   Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026
9. Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline ExtractionKai Golan Hashiloni, Brenda Kasabe Nokai, Michal Shevach, et al.2025

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