Deep learning aging marker from retinal images unveils sex-specific clinical and genetic signatures
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Atom Learning Model (ALM): how a real classroom got tokenised
arXiv:2608.21106v2 Announce Type: replace-cross Abstract: The Atom Learning Model (ALM) tokenises a school curriculum. Two secondary mathematics textbooks were read…
SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems
arXiv:2608.22979v1 Announce Type: new Abstract: Deploying high-dimensional multimodal features in industrial recommender systems incurs substantial storage and latency overhead. Hard…
KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model Inference
arXiv:2608.21362v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) incur high prefill latency because key-value (KV) tensors must be…
What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs
arXiv:2608.00013v2 Announce Type: replace-cross Abstract: Choosing the right large language model (LLM) backbone is the most consequential decision when building…
Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection
arXiv:2608.20169v2 Announce Type: replace-cross Abstract: We present a novel approach to efficient LLM harness optimization through adaptive validation task selection.…
SDoH-Aware Narrative Anchoring Bias in Medical LLMs for Trustworthy Clinical Decision Support
arXiv:2608.22802v1 Announce Type: cross Abstract: Medical large language models are often judged by how many clinical questions they answer correctly.…
Triplet2Track: A Hierarchical System with Object-Centric Representations for Reliable Long-Horizon Manipulation
arXiv:2608.22800v1 Announce Type: cross Abstract: Ensuring reliability in uncertain environments remains difficult for long-horizon robotic manipulation. End-to-end VLA models are…
DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Discrete Diffusion Models
arXiv:2604.24357v3 Announce Type: replace-cross Abstract: Discrete diffusion models admit many token orders, yet most systems rely on confidence-based decoding. Confidence…
AI-based worker guidance in assembly and disassembly operations using multimodal ego/exo-centric data capture and structured task knowledge
arXiv:2608.22617v1 Announce Type: cross Abstract: Assembly and disassembly processes rely on expert knowledge that is difficult to document, reuse, and…