Noninvasive imaging could replace finger pricks for people with diabetes
MIT engineers show they can accurately measure blood glucose by shining near-infrared light on the skin.
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Noninvasive imaging could replace finger pricks for people with diabetes
MIT engineers show they can accurately measure blood glucose by shining near-infrared light on the skin.
Noninvasive imaging could replace finger pricks for people with diabetes
MIT engineers show they can accurately measure blood glucose by shining near-infrared light on the skin.
Walk Before You Dance: High-fidelity and Editable Dance Synthesis via Generative Masked Motion Prior
arXiv:2504.04634v3 Announce Type: replace-cross Abstract: Recent advances in dance generation have enabled the automatic synthesis of 3D dance motions. However, existing methods still face significant challenges in simultaneously achieving high realism, precise dance-music synchronization, diverse motion expression, and physical plausibility.…
PersonaAgent with GraphRAG: Community-Aware Knowledge Graphs for Personalized LLM
arXiv:2511.17467v2 Announce Type: replace Abstract: We propose a novel framework for persona-based language model system, motivated by the need for personalized AI agents that adapt to individual user preferences. In our approach, the agent embodies the user’s “persona” (e.g. user…
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
arXiv:2512.01987v2 Announce Type: replace Abstract: Offline Reinforcement Learning (RL) provides a promising avenue for training policies from pre-collected datasets when gathering additional interaction data is infeasible. However, existing offline RL methods often assume stationarity or only consider synthetic perturbations at…
Training a Scientific Reasoning Model for Chemistry
arXiv:2506.17238v2 Announce Type: replace Abstract: Reasoning models are large language models that emit a long chain-of-thought before answering, providing both higher accuracy and explicit reasoning for their response. A major question has been whether language model reasoning generalizes beyond mathematics,…
Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR
arXiv:2309.15039v4 Announce Type: replace Abstract: Conventional medical cancer screening methods are costly, labor-intensive, and extremely difficult to scale. Although AI can improve cancer detection, most systems rely on complex or specialized medical data, making them impractical for large-scale screening. We…
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
arXiv:2503.01822v2 Announce Type: replace Abstract: Sparse Autoencoders (SAEs) are widely used to interpret neural networks by identifying meaningful concepts from their representations. However, do SAEs truly uncover all concepts a model relies on, or are they inherently biased toward certain…
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
arXiv:2512.02073v1 Announce Type: new Abstract: Graph contrastive learning (GCL) aims to learn discriminative semantic invariance by contrasting different views of the same graph that share critical topological patterns. However, existing GCL approaches with structural augmentations often struggle to identify task-relevant…