Cover Image

GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Moll, Johannes, Corbeil, Jean-Philippe, Pan, Jiazhen, Hadamitzky, Martin, Rueckert, Daniel, Adams, Lisa, Bressem, Keno
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations
by: Moll, Johannes, et al.
Published: (2025)

IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents
by: Corbeil, Jean-Philippe
Published: (2024)

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve
by: Shen, Weixiang, et al.
Published: (2026)

From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties
by: Busch, Felix, et al.
Published: (2023)

Sex-based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures
by: Häntze, Hartmut, et al.
Published: (2025)

Skill-Conditioned Gated Self-Distillation for LLM Reasoning
by: Huang, Jiazhen, et al.
Published: (2026)

Classification, Regression and Segmentation directly from k-Space in Cardiac MRI
by: Li, Ruochen, et al.
Published: (2024)

Unsupervised whole-heart function assessment
by: Zhang, Yundi, et al.
Published: (2025)

What Does DALL-E 2 Know About Radiology?
by: Adams, Lisa C., et al.
Published: (2022)

Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans
by: Häntze, Hartmut, et al.
Published: (2024)

Tables Guide Vision: Learning to See the Heart through Tabular Data
by: Hasny, Marta, et al.
Published: (2025)

VERT: Reliable LLM Judges for Radiology Report Evaluation
by: Bologna, Federica, et al.
Published: (2026)

GRASP: Grouped Regression with Adaptive Shrinkage Priors
by: Tew, Shu Yu, et al.
Published: (2025)

LongHealth: A Question Answering Benchmark with Long Clinical Documents
by: Adams, Lisa, et al.
Published: (2024)

Agentic clinical reasoning over longitudinal myeloma records: a retrospective evaluation against expert consensus
by: Moll, Johannes, et al.
Published: (2026)

MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
by: Han, Tianyu, et al.
Published: (2023)

Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)

Motion-compensated MR CINE reconstruction with reconstruction-driven motion estimation
by: Pan, Jiazhen, et al.
Published: (2023)

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation
by: Byun, Ji Young, et al.
Published: (2026)

No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
by: Hasny, Marta, et al.
Published: (2025)

RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering
by: Arasteh, Soroosh Tayebi, et al.
Published: (2024)

Generalist embedding models are better at short-context clinical semantic search than specialized embedding models
by: Excoffier, Jean-Baptiste, et al.
Published: (2024)

El Instituto Nacional Indigenista en el municipio de Oxchuc, 1951-1971
by: Laurent Corbeil
Published: (2013)

No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
by: Zhang, Yundi, et al.
Published: (2026)

RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation
by: Shen, Chengzhi, et al.
Published: (2026)

Benchmarking Foundation Models for Renal Lesion Stratification in CT
by: Häntze, Hartmut, et al.
Published: (2026)

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
by: Wang, Hao, et al.
Published: (2026)

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study
by: Liu, Che, et al.
Published: (2025)

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration
by: Jian, Bailiang, et al.
Published: (2024)

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
by: Zhang, Yundi, et al.
Published: (2024)

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL
by: Liu, Che, et al.
Published: (2025)

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis
by: Erdur, Ayhan Can, et al.
Published: (2026)

Direct Cardiac Segmentation from Undersampled K-space Using Transformers
by: Zhang, Yundi, et al.
Published: (2024)

Reconstruction-free segmentation from undersampled k-space using transformers
by: Zhang, Yundi, et al.
Published: (2025)

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
by: Vladika, Juraj, et al.
Published: (2025)

Multi-step retrieval and reasoning improves radiology question answering with large language models
by: Wind, Sebastian, et al.
Published: (2025)

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
by: Dorfner, Felix J., et al.
Published: (2024)

EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents
by: Ju, Ruofei, et al.
Published: (2026)

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories
by: Yu, Zhuoyun, et al.
Published: (2026)

Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering
by: Farajiamiri, Mina, et al.
Published: (2026)