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Dzimwe nyaya
9 nyayaInnovation
EmoVec steers language models toward controllable emotional responses without retraining
A new arXiv paper describes EmoVec, an inference-time method that injects emotion-specific vectors into language models to adjust emotional intensity while preserving the response’s meaning, fluency and coherence, according to experiments reported by the authors.arxiv.orgInnovation
Researchers target attention heads linked to object hallucinations in LLaVA
A preprint reports that targeting 32 attention heads in LLaVA-1.5-7B reduced hallucinated objects in captions on 400 held-out COCO images.arxiv.orgInnovation
JIT-Agent proposes on-the-fly harness generation for AI agents
A new arXiv preprint presents JIT-Agent, a model designed to generate, repair and improve the software harnesses that guide AI agents. The authors report sizable benchmark gains across several language-model families, but the work remains an unreviewed preprint without independent validation in the source.arxiv.orgInnovation
$R^3$ inodzidzisa marobhoti kuti ashandise kufunga kwemutauro wechisikigo panguva yekushandura
arXiv preprint inosuma $R^3$, nzira yemashure-yekudzidzira inoshandisa mahara-fomu yemutauro kufunga kutungamira marobhoti manipulation policy. Vanyori vanoshuma zvakawana pamabhenji maviri anodzorwa, uku vachisiya kuita kwepasirese uye saizi yezviwanikwa zvisina kutaurwa.arxiv.orgInnovation
Audit Finds Physical AI Benchmarks Share Redundant Information
A new arXiv preprint reports that several physical-AI benchmarks measure overlapping information, potentially changing how researchers rank models and choose evaluation suites.arxiv.orgInnovation
Radiology Vision-Language Models Show Hidden Failures Under Data Shifts, Preprint Finds
A new preprint reports that medical vision-language models can appear reliable on familiar data while failing cross-dataset transfer, multimodal alignment and shortcut tests.arxiv.orgInnovation
ProViP uses head-aware pruning to cut visual tokens in vision-language models
A new arXiv preprint proposes ProViP, a training-free method that progressively removes redundant visual tokens and focuses pruning on the attention heads most useful for selecting critical visual information. In one reported LLaVA-1.5-7B experiment, it retained 95.9% of the original performance while delivering a…arxiv.orgInnovation
Frozen Hematology AI Models Inorasikirwa Nechokwadi uye Calibration Pasi peKuwana Shift, Dzidzo Inowanikwa.
Ongororo yegumi neshanu hematology yechando, pathology uye general-vision foundation modhi inoshuma kudonha kwakadzika mukuyambuka-dataset kunyatsoita uye kusavimbika kuenzanisa kana chena-yeropa-sero mifananidzo ichibva mumamiriro akasiyana ekutora.arxiv.orgInnovation
LiDAR-SAM2 uses a video foundation model to create 4D LiDAR labels without human annotation
A new preprint introduces LiDAR-SAM2, which transfers video segmentation from SAM2 to temporally consistent 4D LiDAR labeling using multi-view projection and spatio-temporal aggregation.arxiv.org
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