STRIVE: Multi-Agent Structured Temporal Reasoning with Integrated Verification for Longitudinal Radiology Report Generation

arXiv:2608.24237 · cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 18× in this paper · explained in 3 episodes
• GRPO — 16× in this paper · explained in 6 episodes
• Verification — 13× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Structured Clinical State — 8× in this paper
• Temporal Reasoning — 8× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Longitudinal Change Concordance — 5× in this paper
• Alignment — 4× in this paper · explained in 1 episode
• Trace — 4× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Longitudinal Data — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• GRPO Objective — 2× in this paper · explained in 2 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• AT with Group Relative Policy Optimization — 1× in this paper
• Ablation study — 1× in this paper · explained in 1 episode
• Active Perception — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Error Localization — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verifiable Rewards — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• MAIRA-2: Grounded Radiology Report Generation
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• CogRad: A Cognitively-Inspired Multi-Agent Framework for Radiology Report Generation
• MedGemma Technical Report
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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