·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Neil Rimer thinks the AI money is coming back out1h◆The Steering Budget: Examples beat Knobs2h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs2h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination2h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models2h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation2h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System2h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets2h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility2h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation2h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks2h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios2h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration2h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents2h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors2h◆ANet Patu-1: The Value of Connection in the Agent Network2h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization2h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue2h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation2h◆Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions2h◆Neil Rimer thinks the AI money is coming back out1h◆The Steering Budget: Examples beat Knobs2h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs2h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination2h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models2h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation2h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System2h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets2h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility2h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation2h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks2h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios2h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration2h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents2h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors2h◆ANet Patu-1: The Value of Connection in the Agent Network2h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization2h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue2h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation2h◆Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions2h◆
News/World Feedback for Clinical Agents: Diagnosing RL in FHIR Environments
arxiv
PublishedJuly 3, 2026 at 4:00 AM
—neutral

World Feedback for Clinical Agents: Diagnosing RL in FHIR Environments

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.01470v1 Announce Type: new Abstract: Clinical protocol-execution tasks -- checking a lab value, applying a threshold, placing a correctly structured FHIR order -- are natural candidates for RL from world feedback: once clinical SMEs encode decision logic into a verifier, that verifier gra

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivThe Steering Budget: Examples beat Knobs2harxivPolestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs2harxivRxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination2harxivWhen a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models2h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews