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Inkomoko yagenzuwe na AI yerekana ibicuruzwa, guhindura politiki, ubushakashatsi ku mutekano, hamwe n’inganda zigenda, byasobanuwe mu Cyongereza cyoroshye nitsinda ry’uburezi ridaharanira inyungu.
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Buri nkuru ihuza ibimenyetso bikomeye biboneka: inkomoko yumwimerere iyo iboneka, naho ubundi raporo yatanzwe neza.
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Ibyabaye, impamvu bifite akamaro, nicyo kureba - nta jargon.
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Izindi nkuru
9 inkuruGuhanga udushya
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.orgUmutekano
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.orgGuhanga udushya
Preprint reports higher LLM candidate ratings for prestigious institutions
An arXiv preprint reports that four large language models rated candidate profiles more favorably when linked to higher-prestige institutions and journals. The authors say institutional and geographic cues can shape evaluation, while the tested models and professional domains remain unspecified in the supplied source.arxiv.orgGuhanga udushya
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.orgGuhanga udushya
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.orgGuhanga udushya
Kwiga ikarita yerekana indimi 46 zubatswe nigiportigale
Ikarita yerekana ikarita itondekanya 46 yerekana imiterere yururimi rwigiportigale kandi igereranya imyubakire, ibikoresho byamahugurwa, impushya, code, data, nuburemere. Abanditsi bavuga ko umurima ukura ariko bigoye kubisuzuma kuko amakuru akwirakwizwa ku mpapuro, raporo za tekiniki, ububiko, hamwe n’inyandiko z'umushinga.arxiv.orgGuhanga udushya
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.orgGuhanga udushya
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.orgUmutekano
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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