arXiv:2602.20060v2 Announce Type: replace-cross
Abstract: Generative models have shown great potential in trajectory planning. Recent studies demonstrate that anchor-guided generative models are effective in modeling the uncertainty of driving behavio…
arXiv:2511.21740v4 Announce Type: replace
Abstract: Speech brain-computer interfaces (BCIs) aim to restore communication for people with paralysis by translating neural activity into text. Most systems use cascaded frameworks that decode phonemes befo…
arXiv:2601.00216v2 Announce Type: replace
Abstract: Current medical retrieval-augmented generation (RAG) approaches overlook evidence-based medicine (EBM) principles, leading to two key gaps: (1) the lack of PICO alignment between queries and retrieve…
arXiv:2603.25706v1 Announce Type: new
Abstract: Recent unified models have made unprecedented progress in both understanding and generation. However, while most of them accept multi-modal inputs, they typically produce only single-modality outputs. Th…
arXiv:2603.24709v1 Announce Type: cross
Abstract: Multi-step tool orchestration, where LLMs must invoke multiple dependent APIs in the correct order while propagating intermediate outputs, remains challenging. State-of-the-art models frequently fail o…
arXiv:2601.08881v2 Announce Type: replace
Abstract: Unified image generation and editing models suffer from severe task interference in dense diffusion transformers architectures, where a shared parameter space must compromise between conflicting obje…
arXiv:2603.24755v1 Announce Type: cross
Abstract: Software development is iterative, yet agentic coding benchmarks overwhelmingly evaluate single-shot solutions against complete specifications. Code can pass the test suite but become progressively har…
arXiv:2603.24649v1 Announce Type: new
Abstract: Currently, evaluating vision-language models (VLMs) in medical imaging tasks oversimplifies clinical reality by relying on pre-selected 2D images that demand significant manual labor to curate. This setu…
arXiv:2603.25140v1 Announce Type: new
Abstract: Multimodal deepfakes can exhibit subtle visual artifacts and cross-modal inconsistencies, which remain challenging to detect, especially when detectors are trained primarily on curated synthetic forgerie…
The European Parliament’s Thursday vote to delay parts of the EU AI Act adds more uncertainty to the already chaotic AI compliance universe. But analysts say that CIOs must proceed as though the compliance rules are in effect.Â
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