Kubuyekezwa nsuku zonke2293 izindaba eziqinisekisiwe
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Izindaba ezengeziwe
9 izindabaUkuqamba
Preprint describes a multi-agent AI framework for analyzing Chinese herbal formulas
A new arXiv preprint describes DeepTCM1.0, a system using 11 specialized AI agents and iterative review to analyze possible mechanisms of traditional Chinese medicine formulas. It reports an evaluation design but no numerical results, clinical validation, or evidence of improved patient care.arxiv.orgUkuphepha
Ph.D. dissertation examines backdoor attacks in language and vision-language models
An arXiv-listed Ph.D. dissertation studies how backdoor attacks can affect language models and vision-language models, including methods for analysis, detection and attack design.arxiv.orgUkuqamba
I-Preprint ibika izilinganiso eziphezulu zekhandidethi ye-LLM ezikhungweni ezihlonishwayo
I-arXiv ephrintiwe ibika ukuthi izibonelo zezilimi ezine ezinkulu zilinganisele amaphrofayili abantu abafanelekayo uma bexhunywe ezikhungweni eziphakeme kanye namajenali. Ababhali bathi izimpawu zesikhungo nezendawo zingalolonga ukuhlolwa, kuyilapho amamodeli ahloliwe nezizinda ezichwepheshile kuhlala kungashiwongo kumthombo onikeziwe.arxiv.orgUkuqamba
Study finds inference context can change LLM outputs in medical allocation scenarios
An arXiv paper reports that three of four tested language models shifted resource-allocation probabilities differently when the same clinical scenario was evaluated with or without the model’s prior response in context.arxiv.orgUkuqamba
Preprint reports AI decoding of natural sentences from non-invasive brain recordings
A research team describes Brain2Qwerty v2, a model that uses real-time MEG recordings to decode typed natural sentences, reporting a 39% average word error rate across nine subjects.arxiv.orgUkuqamba
Study maps 46 language models built for Portuguese
A systematic mapping study catalogs 46 Portuguese language models and compares architectures, training resources, licensing, code, data, and weights. The authors say the field is growing but difficult to assess because information is spread across papers, technical reports, repositories, and project documentation.arxiv.orgUkuqamba
Interpretability study links Qwen3-4B’s overconfident answers to a certainty-biased mechanism
An arXiv study reports that Qwen3-4B favors certainty over uncertainty in controlled reasoning tasks and identifies model features that may drive the imbalance. The authors say targeted interventions reduced overconfident errors, but the abstract does not disclose effect sizes or testing details.arxiv.orgUkuqamba
The Deontic Gap: Large Language Models and the Modal Language of Obligation
Modal auxiliaries such as must, should, and have to mark necessity and obligation within the contexts of speaker authority and interpersonal stance.arxiv.orgUkuphepha
Paper proposes obscuring refusal signals to resist abliteration attacks
An arXiv preprint introduces a weight-editing method intended to make safety refusals harder to extract and remove. The paper reports stronger post-abliteration refusal scores on two open models, with different tradeoffs in general-purpose performance.arxiv.org
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