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Wararka AI. Sawaxan la'aan.
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Sheekooyin badan
9 sheekooyinHal-abuurnimo
MTDiag tests whether medical LLMs can reason across multi-turn diagnostic conversations
A new dataset evaluates large language models as diagnostic agents in interactive clinical encounters rather than through isolated questions. MTDiag combines cases from emergency medicine, clinical records and published case reports, and proposes knowledge-grounded metrics beyond diagnostic accuracy.arxiv.orgHal-abuurnimo
HealthBench-Psych introduces an open benchmark for mental-health AI performance
Researchers created HealthBench-Psych, a 610-conversation mental-health subset of OpenAI’s HealthBench, and released its evaluation pipeline, model responses, grades and analysis code.arxiv.orgHal-abuurnimo
Survey maps how foundation models can learn from their own outputs after training
A survey accepted to Findings of EMNLP 2026 catalogs 80 methods for adapting foundation models without human labels, preference data, stronger teachers or executable verifiers. It warns that internal learning signals can either improve a model or recursively amplify its errors.arxiv.orgHal-abuurnimo
Study traces dialect bias through every stage of language-model development
A new preprint reports that language models encode dialectal English unequally during tokenization, pre-training, post-training and inference, even when paired texts have the same meaning.arxiv.orgHal-abuurnimo
Paper proposes adaptive timing for correcting bias in LLM reasoning
A new preprint proposes triggering bias corrections only when evidence of stereotyping accumulates during an LLM’s reasoning, reporting fewer interventions than fixed-interval methods but important accuracy tradeoffs across model types.arxiv.orgHal-abuurnimo
OmniPhys benchmark tests multimodal AI on physics reasoning and diagram generation
A paper accepted to Findings of EMNLP 2026 introduces OmniPhys, a benchmark of 15,246 physics questions and 19,850 images drawn from Chinese educational corpora. It evaluates multimodal AI systems on both physics reasoning and the generation of structured physics diagrams.arxiv.orgHal-abuurnimo
DCGC proposes global correction for flawed reasoning in masked diffusion language models
A new arXiv preprint introduces DCGC, a masked-diffusion framework that uses an upstream draft to revise reasoning globally instead of allowing early mistakes to propagate.arxiv.orgHal-abuurnimo
VietAIDetector offers an open-source detector for Vietnamese AI-generated text
A new arXiv paper introduces VietAIDetector, an open-source zero-shot tool designed to identify AI-generated Vietnamese text without domain-specific training data. The authors say it supports long and scanned documents and outperforms methods developed primarily for English on out-of-domain evaluations.arxiv.orgHal-abuurnimo
ReliableRAG proposes reliability-guided reasoning chains to reduce misinformation in RAG
An arXiv preprint introduces ReliableRAG, a retrieval-augmented generation framework that scores individual evidence triples for relevance and credibility before constructing multi-step answers.arxiv.org
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