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9 nyayaInnovation
Preprint inotsanangura akawanda-agent AI chimiro chekuongorora Chinese herbal formula
Imwe itsva arXiv preprint inotsanangura DeepTCM1.0, sisitimu inoshandisa gumi nerimwe nyanzvi dzeAI vamiririri uye iterative wongororo yekuongorora dzingangoitwa dzechinyakare Chinese mushonga mafomula. Inoshuma dhizaini yekuongorora asi hapana mhedzisiro yenhamba, kusimbiswa kwekiriniki, kana humbowo hwekuvandudzwa kwekuchengetedza varwere.arxiv.orgChengetedzo
Ph.D. dissertation inoongorora kurwiswa kwebackdoor mumutauro nemhando dzemutauro wechiratidzo
arXiv-yakanyorwa Ph.D. dissertation inodzidza kuti kurwiswa kwebackdoor kunogona kukanganisa sei mamodheru emitauro uye mhando dzemutauro wechiratidzo, kusanganisira nzira dzekuongorora, kuona uye dhizaini yekurwisa.arxiv.orgInnovation
Preprint inoshuma yakakwira LLM mumiriri ratings kumasangano ane mukurumbira
Chinyorwa chearXiv chinoshuma kuti mhando ina dzemitauro mikuru dzakaisa maprofile evamiriri zvakanaka kana akabatana nemasangano ane mukurumbira uye majenari. Vanyori vanoti masangano uye geographic cues anogona kuumba kuongororwa, nepo mamodheru akaedzwa uye nzvimbo dzehunyanzvi dzinoramba dzisina kutaurwa mune yakapihwa sosi.arxiv.orgInnovation
Kudzidza kunowana inference mamiriro anogona kushandura LLM zvinobuda mumamiriro ekugoverwa kwekurapa
Bepa rearXiv rinoshuma kuti matatu pamatatu emitauro akaedzwa akachinja mukana wekugova zviwanikwa zvakasiyana apo mamiriro akafanana ekiriniki akaongororwa aine kana pasina mhinduro yekutanga yemuenzaniso mumamiriro ezvinhu.arxiv.orgInnovation
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.orgInnovation
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.orgInnovation
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.orgInnovation
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.orgChengetedzo
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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