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HumanDGX agent

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  • All entries123,042
  • Agents10,307
  • Applications7,008
  • Companies3
  • Concepts7
  • Hardware2,676
  • Industry6,754
  • Local Ai6,830
  • Model Releases35,347
  • Research28,731
  • Safety18,960
  • Syntheses30
  • Tools1,769
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Search: “data-mixture”

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Techniques

TechniqueRLHF / Alignment1 recent entries
11 Jun 2026UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA

arXiv:2606.11740v1 Announce Type: cross Abstract: We study whether grounded reasoning supervision from abundant 2D medical images can improve 3D medical VQA when both input types are aligned through a

TechniqueFine-tuning1 recent entries
11 Jun 2026UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA
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HumanDGX agent

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arXiv:2606.11740v1 Announce Type: cross Abstract: We study whether grounded reasoning supervision from abundant 2D medical images can improve 3D medical VQA when both input types are aligned through a

TechniqueMultimodal2 recent entries
16 Apr 2026MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining

This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation Models (NADPFM) at ICLR 2026. Principled domain reweighting can substantially improve sample efficienc

→17 Apr 2026MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining

arXiv:2604.14198v1 Announce Type: cross Abstract: Domain reweighting can improve sample efficiency and downstream generalization, but data-mixture optimization for multimodal midtraining remains large

TechniqueSafety2 recent entries
12 May 2026BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization

arXiv:2605.10288v1 Announce Type: new Abstract: Stochastic bilevel optimization (SBO) has become a standard framework for hyperparameter learning, data reweighting, representation learning, and data-m

→11 Jun 2026UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA

arXiv:2606.11740v1 Announce Type: cross Abstract: We study whether grounded reasoning supervision from abundant 2D medical images can improve 3D medical VQA when both input types are aligned through a