📰 AI News

arXiv:2510.01448v2 Announce Type: replace-cross Abstract: Worldwide visual geo-localization aims to determine the geographic location of an image anywhere on Ea

arXiv:2510.03223v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) tend to generate a long reasoning chain when solving complex tasks. Howev

arXiv:2510.06882v2 Announce Type: replace-cross Abstract: Edge devices have limited resources, which inevitably leads to situations where stream processing serv

arXiv:2510.12834v3 Announce Type: replace-cross Abstract: Human communication is multimodal, with speech and gestures tightly coupled, yet most computational me

arXiv:2510.21011v2 Announce Type: replace-cross Abstract: As generative AI tools are increasingly used to portray people in professional roles, understanding th

arXiv:2510.24133v2 Announce Type: replace-cross Abstract: Despite their impressive realism, modern text-to-image models still struggle with compositionality, of

arXiv:2511.00810v3 Announce Type: replace-cross Abstract: Graphical user interface (GUI) grounding is a key capability for computer-use agents, mapping natural-

arXiv:2511.02531v5 Announce Type: replace-cross Abstract: Healthcare artificial intelligence systems often degrade in performance when deployed across instituti

arXiv:2511.06494v2 Announce Type: replace-cross Abstract: Mixture-of-Experts (MoE) architectures scale large language models (LLMs) by activating only a subset

arXiv:2511.10983v2 Announce Type: replace-cross Abstract: We propose a training-free, binary verification workflow for zero-shot vision with off-the-shelf VLMs.

arXiv:2511.18746v2 Announce Type: replace-cross Abstract: While video-generation-based embodied world models have gained increasing attention, their reliance on

arXiv:2511.21075v2 Announce Type: replace-cross Abstract: Aligning Large Language Models (LLMs) with biomedical knowledge requires understanding both concepts a

arXiv:2512.01707v2 Announce Type: replace-cross Abstract: Streaming video understanding requires models not only to process temporally incoming frames, but also

arXiv:2512.02425v2 Announce Type: replace-cross Abstract: Recent advances in video large language models have demonstrated strong capabilities in understanding

arXiv:2512.08777v2 Announce Type: replace-cross Abstract: We propose a post-training method for lower-resource languages that preserves the fluency of language

arXiv:2512.11798v2 Announce Type: replace-cross Abstract: We introduce Particulate, a feed-forward model that, given a 3D mesh of an object, infers its articula

arXiv:2512.13607v2 Announce Type: replace-cross Abstract: Building general-purpose reasoning models with reinforcement learning (RL) entails substantial cross-d

arXiv:2512.14080v2 Announce Type: replace-cross Abstract: Mixture of Experts (MoE) models have emerged as the de facto architecture for scaling up language mode

arXiv:2512.14150v3 Announce Type: replace-cross Abstract: Radio path loss prediction (RPP) is critical for optimizing 5G networks and enabling IoT, smart city,

arXiv:2512.14549v3 Announce Type: replace-cross Abstract: This paper combines autoregressive and masked-diffusion training objectives without any architectural

arXiv:2512.16145v2 Announce Type: replace-cross Abstract: Medical report generation aims to automatically produce radiology-style reports from medical images, s

arXiv:2512.16378v3 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) expand beyond text, integrating speech as a native modality has given

arXiv:2512.20660v2 Announce Type: replace-cross Abstract: Large Language Models deployed as code generation agents exhibit stochastic behavior incompatible with

arXiv:2601.07855v2 Announce Type: replace-cross Abstract: For 3D perception systems to operate reliably in real-world environments, they must remain robust to e