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OLAPH: Improving Factuality in Biomedical Long-form Question Answering
Paper • 2405.12701 • Published • 1 -
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain
Paper • 2405.10893 • Published -
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser
Paper • 2405.09153 • Published -
MedConceptsQA -- Open Source Medical Concepts QA Benchmark
Paper • 2405.07348 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2306.00890
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Visual Instruction Tuning
Paper • 2304.08485 • Published • 8 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 40 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 32 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 29
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Attention Is All You Need
Paper • 1706.03762 • Published • 35 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 7 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 11
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Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Paper • 2310.13132 • Published • 8 -
The impact of using an AI chatbot to respond to patient messages
Paper • 2310.17703 • Published • 5 -
Clinical Camel: An Open-Source Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
Paper • 2305.12031 • Published • 5 -
ChatDoctor: A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge
Paper • 2303.14070 • Published • 9