RadSEM is a constrained LLM-assisted metric that rewrites radiology reports into atomic finding sentences, applies contradiction-constrained many-to-many matching, and computes an abnormal-focused weighted F1 score.
arXiv preprint arXiv:2511.14439 , year=
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Introduces IndoRad-VQA dataset and reports 8-25% performance gap in medical VLMs between English and Indonesian radiology VQA prompts.
Scoping review of 134 studies on LLM-as-a-Judge in healthcare finds concentration in clinical decision support and NLP, frequent use of OpenAI models with prompt engineering, and moderate-to-strong human alignment where validated.
TeleCom-Bench reveals LLMs reach 90% on telecom intent and entity tasks but drop to 30% on solution generation and root cause analysis in live network scenarios.
CLR-voyance reformulates inpatient reasoning as POMDP with clinician-validated outcome rubrics, yielding an 8B model that outperforms larger frontier models on the authors' new benchmark.
citing papers explorer
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RadSEM: A Finding-by-Finding Metric for Clinical Consistency in Radiology Reports
RadSEM is a constrained LLM-assisted metric that rewrites radiology reports into atomic finding sentences, applies contradiction-constrained many-to-many matching, and computes an abnormal-focused weighted F1 score.
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Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study
Introduces IndoRad-VQA dataset and reports 8-25% performance gap in medical VLMs between English and Indonesian radiology VQA prompts.
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LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment
Scoping review of 134 studies on LLM-as-a-Judge in healthcare finds concentration in clinical decision support and NLP, frequent use of OpenAI models with prompt engineering, and moderate-to-strong human alignment where validated.
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TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?
TeleCom-Bench reveals LLMs reach 90% on telecom intent and entity tasks but drop to 30% on solution generation and root cause analysis in live network scenarios.
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CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics
CLR-voyance reformulates inpatient reasoning as POMDP with clinician-validated outcome rubrics, yielding an 8B model that outperforms larger frontier models on the authors' new benchmark.