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Collections including paper arxiv:2506.07044

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline

Paper • 2411.12814 • Published Nov 19, 2024 • 23
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation

Paper • 2411.14525 • Published Nov 21, 2024 • 19
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities

Paper • 2412.04106 • Published Dec 4, 2024 • 5
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

Paper • 2412.17780 • Published Dec 23, 2024 • 5

foundation models

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
Current Pathology Foundation Models are unrobust to Medical Center Differences

Paper • 2501.18055 • Published Jan 29, 2025 • 3
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images

Paper • 2512.14640 • Published Dec 16, 2025 • 1
Atlas 2 -- Foundation models for clinical deployment

Paper • 2601.05148 • Published Jan 8 • 3

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
TsinghuaC3I/MedXpertQA

Viewer • Updated Jul 9, 2025 • 4.46k • 4.5k • 53

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114

Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities

Paper • 2505.02567 • Published May 5, 2025 • 82
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations

Paper • 2505.18125 • Published May 23, 2025 • 112
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23, 2025 • 81
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23, 2025 • 62

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

lingshu-medical-mllm/Lingshu-7B

Image-Text-to-Text • Updated Sep 17, 2025 • 5.9k • 76
lingshu-medical-mllm/Lingshu-I-8B

Image-Text-to-Text • 8B • Updated Feb 24 • 14.2k • 7
lingshu-medical-mllm/Lingshu-32B

Image-Text-to-Text • 33B • Updated Sep 17, 2025 • 3.67k • 78
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114

Medical Report Generation

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models

Paper • 2411.18672 • Published Nov 27, 2024
CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation

Paper • 2406.11451 • Published Jun 17, 2024
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
μ^2Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Paper • 2507.00316 • Published Jun 30, 2025 • 15

Lingshu MLX conversions

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
mlx-community/Lingshu-7B-4bit

Image-Text-to-Text • 1B • Updated Jun 12, 2025 • 12
mlx-community/Lingshu-7B-6bit

Image-Text-to-Text • Updated Jun 12, 2025 • 11
mlx-community/Lingshu-7B-8bit

Image-Text-to-Text • Updated Jun 12, 2025 • 9

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

lingshu-medical-mllm/Lingshu-I-8B

Image-Text-to-Text • 8B • Updated Feb 24 • 14.2k • 7
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
lingshu-medical-mllm/Lingshu-7B

Image-Text-to-Text • Updated Sep 17, 2025 • 5.9k • 76
lingshu-medical-mllm/Lingshu-32B

Image-Text-to-Text • 33B • Updated Sep 17, 2025 • 3.67k • 78

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2, 2025 • 9
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11, 2025 • 33
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Paper • 2503.23157 • Published Mar 29, 2025 • 10
AI Agents: Evolution, Architecture, and Real-World Applications

Paper • 2503.12687 • Published Mar 16, 2025 • 2

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline

Paper • 2411.12814 • Published Nov 19, 2024 • 23
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation

Paper • 2411.14525 • Published Nov 21, 2024 • 19
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities

Paper • 2412.04106 • Published Dec 4, 2024 • 5
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

Paper • 2412.17780 • Published Dec 23, 2024 • 5

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

lingshu-medical-mllm/Lingshu-7B

Image-Text-to-Text • Updated Sep 17, 2025 • 5.9k • 76
lingshu-medical-mllm/Lingshu-I-8B

Image-Text-to-Text • 8B • Updated Feb 24 • 14.2k • 7
lingshu-medical-mllm/Lingshu-32B

Image-Text-to-Text • 33B • Updated Sep 17, 2025 • 3.67k • 78
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114

foundation models

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
Current Pathology Foundation Models are unrobust to Medical Center Differences

Paper • 2501.18055 • Published Jan 29, 2025 • 3
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images

Paper • 2512.14640 • Published Dec 16, 2025 • 1
Atlas 2 -- Foundation models for clinical deployment

Paper • 2601.05148 • Published Jan 8 • 3

Medical Report Generation

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models

Paper • 2411.18672 • Published Nov 27, 2024
CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation

Paper • 2406.11451 • Published Jun 17, 2024
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
μ^2Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Paper • 2507.00316 • Published Jun 30, 2025 • 15

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
TsinghuaC3I/MedXpertQA

Viewer • Updated Jul 9, 2025 • 4.46k • 4.5k • 53

Lingshu MLX conversions

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
mlx-community/Lingshu-7B-4bit

Image-Text-to-Text • 1B • Updated Jun 12, 2025 • 12
mlx-community/Lingshu-7B-6bit

Image-Text-to-Text • Updated Jun 12, 2025 • 11
mlx-community/Lingshu-7B-8bit

Image-Text-to-Text • Updated Jun 12, 2025 • 9

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

lingshu-medical-mllm/Lingshu-I-8B

Image-Text-to-Text • 8B • Updated Feb 24 • 14.2k • 7
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Paper • 2506.07044 • Published Jun 8, 2025 • 114
lingshu-medical-mllm/Lingshu-7B

Image-Text-to-Text • Updated Sep 17, 2025 • 5.9k • 76
lingshu-medical-mllm/Lingshu-32B

Image-Text-to-Text • 33B • Updated Sep 17, 2025 • 3.67k • 78

Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities

Paper • 2505.02567 • Published May 5, 2025 • 82
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations

Paper • 2505.18125 • Published May 23, 2025 • 112
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23, 2025 • 81
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23, 2025 • 62

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2, 2025 • 9
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11, 2025 • 33
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Paper • 2503.23157 • Published Mar 29, 2025 • 10
AI Agents: Evolution, Architecture, and Real-World Applications

Paper • 2503.12687 • Published Mar 16, 2025 • 2

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