Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People
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Abstract (arXiv)
Despite the vast repository of global medical knowledge predominantly being in English, local languages are crucial for delivering tailored healthcare services, particularly in areas with limited medical resources. To extend the reach of medical AI advancements to a broader population, we aim to develop medical LLMs across the six most widely spoken languages, encompassing a global population of 6.1 billion. This effort culminates in the creation of the ApolloCorpora multilingual medical dataset and the XMedBench benchmark. In the multilingual medical benchmark, the released Apollo models, at various relatively-small sizes (i.e., 0.5B, 1.8B, 2B, 6B, and 7B), achieve the best performance among models of equivalent size. Especially, Apollo-7B is the state-of-the-art multilingual medical LLMs up to 70B. Additionally, these lite models could be used to improve the multi-lingual medical capabilities of larger models without fine-tuning in a proxy-tuning fashion. We will open-source training corpora, code, model weights and evaluation benchmark.
Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). Builds on 38 of its 63 references that are in the map. First posted on arXiv 6 Mar 2024.
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Citing papers per year: 2024: 13; 2025: 14; 2026: 11.
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- 2025Building Models of Neurological Language6 Jun 2025
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- 2025Multimodal Large Language Models for Medicine: A Comprehensive Survey29 Apr 2025
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- 2025Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyond28 Feb 2025
- 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support25 Feb 2025
- 2025CMQCIC-Bench: A Chinese Benchmark for Evaluating Large Language Models in Medical Quality Control Indicator Calculation17 Feb 2025
- 2024HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs25 Dec 2024
- 2024INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge29 Nov 2024
- 2024Large Language Model Benchmarks in Medical Tasks28 Oct 2024
- 2024Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts14 Oct 2024
- 2024A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?23 Sep 2024
- 2024Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management20 Sep 2024
- 2024Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning Approach9 Sep 2024
- 2024Domain-Specific Pretraining of Language Models: A Comparative Study in the Medical Field19 Jul 2024
- 2024CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis18 Jul 2024
- 2024Performance Evaluation of Lightweight Open-source Large Language Models in Pediatric Consultations: A Comparative Analysis16 Jul 2024
- 2024HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale27 Jun 2024
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- 2024HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMscited by 257
- 2025Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoningcited by 217
- 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Supportcited by 16
- 2025InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoningcited by 2
- 2025ControlMed: Adding Reasoning Control to Medical Language Modelcited by 0
- 2025Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Gamescited by 0
- 2025HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoningcited by 0
- 2026From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlascited by 0
- 2026HiMed: Incentivizing Hindi Reasoning in Medical LLMscited by 0
- 2026HiMed: Incentivizing Hindi Reasoning in Medical LLMs23 May 2026
- 2026From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas31 Jan 2026
- 2025HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning19 Nov 2025
- 2025Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games15 Oct 2025
- 2025ControlMed: Adding Reasoning Control to Medical Language Model30 Jul 2025
- 2025Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning8 Jun 2025
- 2025InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoning29 May 2025
- 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support25 Feb 2025
- 2024HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs25 Dec 2024
- 2024HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scalecited by 194
- 2024A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicinecited by 45
- 2025Multimodal Large Language Models for Medicine: A Comprehensive Surveycited by 16
- 2026ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understandingcited by 2
- 2026ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding27 Jul 2026
- 2025Multimodal Large Language Models for Medicine: A Comprehensive Survey29 Apr 2025
- 2024HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale27 Jun 2024
- 2024A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine14 May 2024
- 2024INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledgecited by 78
- 2024CoD, Towards an Interpretable Medical Agent using Chain of Diagnosiscited by 43
- 2024A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?cited by 33
- 2025The Rise of Small Language Models in Healthcare: A Comprehensive Surveycited by 18
- 2024A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluationscited by 16
- 2024Large Language Model Benchmarks in Medical Taskscited by 16
- 2025CLINIC: Evaluating Multilingual Trustworthiness in Language Models for Healthcarecited by 7
- 2024Domain-Specific Pretraining of Language Models: A Comparative Study in the Medical Fieldcited by 5
- 2025EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Taskscited by 5
- 2026MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmarkcited by 3
- 2024Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Managementcited by 2
- 2026EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMscited by 2
12 most cited of 23 All 23 (JSON)
- 2026Perspectives on Cross-Lingual Consistency in LLMs for Medical Questions7 Sep 2026
- 2026HealMed: Multilingual Evaluation of Large Language Models in Medicine20 Aug 2026
- 2026Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection31 Jul 2026
- 2026EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs28 May 2026
- 2026Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models20 May 2026
- 2026Language corpora for the Dutch medical domain28 Apr 2026
- 2026PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation18 Mar 2026
- 2026MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark2 Feb 2026
- 2025CLINIC: Evaluating Multilingual Trustworthiness in Language Models for Healthcare12 Dec 2025
- 2025EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks11 Nov 2025
- 2025Building Models of Neurological Language6 Jun 2025
- 2025The Rise of Small Language Models in Healthcare: A Comprehensive Survey23 Apr 2025
12 newest of 23 All 23 (JSON)