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Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 51 -
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Paper • 2410.01215 • Published • 30 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 96 -
EuroLLM: Multilingual Language Models for Europe
Paper • 2409.16235 • Published • 23
Collections
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Collections including paper arxiv:2409.14988
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Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Paper • 2409.14988 • Published • 21 -
Med42-v2: A Suite of Clinical LLMs
Paper • 2408.06142 • Published • 50 -
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Paper • 2404.14779 • Published • 1 -
m42-health/Llama3-Med42-70B
Text Generation • Updated • 541 • 33
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Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 27 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 131 -
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Paper • 2409.14988 • Published • 21
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SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 34 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 61 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 40 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 38
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CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
Paper • 2410.05235 • Published • 1 -
Named Clinical Entity Recognition Benchmark
Paper • 2410.05046 • Published • 17 -
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation
Paper • 2410.02458 • Published • 9 -
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation
Paper • 2410.00163 • Published