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From Retinal Evidence to Safe Decisions: RETINA-SAFE and ECRT for Hallucination

BACKGROUND
2 SIGNALSFIRST DETECTED 8 April 2026
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26 Jun
8 Apr
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14 May
An Agentic LLM-Based Framework for Population-Scale Mental Health Screening

arXiv:2605.13046v1 Announce Type: new Abstract: Mental health disorders affect millions worldwide, and healthcare systems are increasingly overwhelmed by the volume of clinical

REPORT · WHAT · ArXiv CS.AIOPEN STORY
12 May
Measuring What Matters: Benchmarking Generative, Multimodal, and Agentic AI in Healthcare

arXiv:2605.08445v1 Announce Type: new Abstract: AI models are increasingly deployed in live clinical environments where they must perform reliably across complex, high-stakes

REPORT · WHERE · ArXiv CS.AIOPEN STORY
2 May
Simulating clinical interventions with a generative multimodal model of human physiology

arXiv:2604.27899v1 Announce Type: new Abstract: Understanding how human health changes over time, and why responses to interventions vary between individuals, remains a central

REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Mar
Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

arXiv:2603.18532v1 Announce Type: cross Abstract: The strong performance of large vision-language models (VLMs) trained with reinforcement learning (RL) has motivated similar

REPORT · HOW · ArXiv CS.AIOPEN STORY
30 Mar
BeSafe-Bench: Unveiling Behavioral Safety Risks of Situated Agents in Functional Environments

arXiv:2603.25747v1 Announce Type: new Abstract: The rapid evolution of Large Multimodal Models (LMMs) has enabled agents to perform complex digital and physical tasks, yet their

REPORT · WHAT · ArXiv CS.AIOPEN STORY
21 Apr
Hallucination as Trajectory Commitment: Causal Evidence for Asymmetric Attractor Dynamics in Transformer Generation

arXiv:2604.15400v1 Announce Type: cross Abstract: We present causal evidence that hallucination in autoregressive language models is an early trajectory commitment governed by

REPORT · HOW · ArXiv CS.AIOPEN STORY
26 Mar
Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models

arXiv:2603.22303v1 Announce Type: cross Abstract: Hallucinations in large language models (LLMs) remain a central obstacle to trustworthy deployment, motivating detectors that are

REPORT · WHAT · ArXiv CS.AIOPEN STORY
24 Apr
Explainable AML Triage with LLMs: Evidence Retrieval and Counterfactual Checks

arXiv:2604.19755v1 Announce Type: new Abstract: Anti-money laundering (AML) transaction monitoring generates large volumes of alerts that must be rapidly triaged by investigators

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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