arXiv:2606.06547v2 Announce Type: replace Abstract: Diffusion Large Language Models (dLLMs) refine tokens iteratively but commit them irreversibly, leading to a "stability lag" where early decisions remain…
arXiv:2607.16235v1 Announce Type: new Abstract: Mobile and wearable devices offer an unprecedented opportunity for continuous, passive health monitoring and active health coaching. However, the largest wearable…
arXiv:2607.16876v1 Announce Type: new Abstract: Constrained Optimization Problems are crucial in fields such as engineering, economics, and robotics, where high-dimensional search spaces and complex objectives and…
arXiv:2607.16717v1 Announce Type: new Abstract: This paper proposes a causal independence principle for value -- the value Causal Markov Condition (v-CMC) -- and develops the conceptual…
arXiv:2607.14707v2 Announce Type: replace-cross Abstract: Large language models routinely produce fluent answers to single-shot prompts, yet deploying them as reliable components of a domain decision system…
arXiv:2607.18027v1 Announce Type: cross Abstract: Scaled dot product attention conflates directional alignment and vector magnitude, limiting its effectiveness as a similarity metric in Transformer models. We…
arXiv:2509.00078v2 Announce Type: replace-cross Abstract: The emergence of large language models (LLMs) has transformed spoken dialog systems, yet the optimal architecture for real-time on-device voice agents…
arXiv:2607.16280v1 Announce Type: new Abstract: Photorealistic 3D face avatars are increasingly deployed as reusable digital assets across applications such as telepresence, animation, and personalized media. At…
arXiv:2505.02722v2 Announce Type: replace-cross Abstract: Although large language models (LLMs) have demonstrated impressive reasoning capabilities across general domains, their effectiveness in real-world clinical practice remains limited.…
arXiv:2601.05353v2 Announce Type: replace Abstract: Accurate blood glucose forecasting using continuous glucose monitoring (CGM) data can support the early prediction of dysglycemic risk. However, current neural-network-based…
arXiv:2607.16723v1 Announce Type: new Abstract: Large-scale multi-objective optimization problems (LSMOPs) are challenging due to their high-dimensional decision spaces. Fuzzy search is an effective technique for improving…
arXiv:2607.16725v1 Announce Type: new Abstract: Conditional generative modeling remains a challenging problem in semi-supervised settings where labeled data is scarce but unlabeled samples are abundant. To…
arXiv:2607.16204v1 Announce Type: new Abstract: Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and…
arXiv:2607.04071v2 Announce Type: replace Abstract: Portuguese remains underrepresented in text embedding evaluation, despite being one of the most widely spoken languages in the world. As a…
arXiv:2607.16799v1 Announce Type: new Abstract: Hidden-state readouts can predict whether language-model outputs are correct, but objective correctness (OC) usually agrees with the model's own self-judgement (SJ),…
arXiv:2607.16279v1 Announce Type: new Abstract: Facial image retrieval in unconstrained surveillance environments is a high-stakes challenge where missing a subject of interest -- a single false…
arXiv:2505.20161v2 Announce Type: replace Abstract: Effective generalization in language models depends critically on the diversity of their training data. Yet existing diversity metrics often fall short…
arXiv:2607.16236v1 Announce Type: new Abstract: Explainability methods for time series models predominantly produce flat attribution scores: they quantify the direct influence of a feature at a…
arXiv:2607.16623v1 Announce Type: new Abstract: In The Algebraic Mind, Marcus identified three cognitive components: operations over variables, recursively structured representations, and an individual/kind distinction. He left…
arXiv:2607.16685v1 Announce Type: new Abstract: Conditional diffusion models have become a powerful and flexible framework for learning complex conditional distributions from labeled data. In practice, however,…
arXiv:2607.17551v1 Announce Type: cross Abstract: Lung ultrasound (LUS) is a bedside tool for assessing pulmonary edema in patients at risk due to heart failure or impaired…
arXiv:2412.18613v2 Announce Type: replace-cross Abstract: Illusions are entertaining, but they are also a useful diagnostic tool in cognitive science, philosophy, and neuroscience. A typical illusion shows…
arXiv:2607.16431v1 Announce Type: new Abstract: Small-scale language models (SLMs) are attractive for retrieval-augmented generation (RAG) in resource-constrained settings, but their limited capacity makes them highly sensitive…
arXiv:2607.16274v1 Announce Type: new Abstract: Joint-Embedding Predictive Architectures (JEPAs) train a predictor jointly with their encoder, but downstream deployment discards the predictor and reads features from…