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Pulse · cbs8.com

cbs8.com · Oct 24

Banks push back as AI agents enter customer accounts, raising concerns about unauthorized activity

Pulse · enterpriseai.economictimes.indiatimes.com

enterpriseai.economictimes.indiatimes.com · Oct 24

China's Moonshot AI launches Kimi K3.1 Pro; plans full model weights release by November

Moonshot AI has launched Kimi K3.1 Pro, a groundbreaking 3-trillion-parameter AI model with advanced features like a 1-million-token context window and unmatched performance across various applications. Full model weights will be released by November 4.

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arXiv

Oct 22

A Unified Framework for Image-to-3D Part Generation via Variable Granularity

Controllable 3D part generation is pivotal for digital asset creation, yet existing methods lack the flexibility to accommodate diverse user workflows requiring varying levels of control. In this paper, we introduce FlexPart, a unified image-to-3D part generation framework that supports variable-granularity geometric conditions within a single model. By seamlessly integrating heterogeneous inputs, ranging from sparse points to dense bounding boxes and masks, via gated adaptive modulation, FlexPart unlocks a powerful cross-modal synergy. We also propose an asymmetric geometric guidance mechanism that leverages strong spatial priors to align representations across granularities, improving geometric consistency and facilitating inter-task synergy. Under mask conditioning on PartVerseXL, FlexPart reduces Part CD by 16.6% relative to TripoSG + SAM3D and by 10.5% relative to OmniPart, while maintaining competitive whole-mesh quality. The code can be found at https://github.com/Gucci233/FlexPart

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arXiv

Sep 25

Words Speak Louder Than Order: A Behavioral Evaluation of Gemma 4

When a language model receives two conflicting documents as input, how does it decide which one to prioritize? Does it rely on how the sources are framed or the presentation order of the documents? We evaluated this behavior on Google's pre-trained Gemma 4-e4b model across a…

arXiv

Sep 25

ConflictVLA-Bench: Benchmarking Behavioral Responses of Vision-Language-Action Models to Premise Conflicts

While Vision-Language-Action (VLA) models perform strongly on manipulation tasks, their responses to invalid task premises remain underexplored. Existing evaluations of premise conflicts often focus on terminal task outcomes, yet task failure alone cannot distinguish behavioral…

arXiv

Sep 25

CRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems

Agentic AI systems are increasingly being explored in medical imaging to improve throughput and reduce clinician workload; however, safe deployment remains challenging because autonomous errors may propagate into downstream clinical decisions. A central requirement is therefore…

arXiv

Sep 25

Parameter Estimation for Unnormalized Discrete Models via Empirically Localized Deformed Bregman Divergence

Estimation of parameter of probabilistic models is an important task in the field of machine learning.For models of discrete variables, calculation of the normalization constant of model is sometimes difficult and a lot of researches have been done to avoid the calculation of…

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