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Capturing LLM Capabilities via Evidence-Calibrated Query Clustering

arXiv:2605.17110v2 Announce Type: replace Abstract: Query clustering organizes queries into groups that reflect shared latent capability demands, enabling capability-aware LLM evaluation. Existing clustering methods, which primarily rely on semantic taxonomies or embeddings, often fail to capture such latent capability requirements due to a misalignment between surface-level semantics and actual model performance. We propose ECC, an algorithm that calibrates prior semantic embeddings using...

arXiv CS 8d ago

Ablation Study of Block Size, Weight Precision, and Scale Precision in NVFP4 Inference for Low-Power Edge-Efficient Neural Networks

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arXiv CS 2d ago

wolfSSL releases a new product; wolfCOSE a zero alloc C embbedded COSE stack

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Connection between $GW$ and Extended Coupled Cluster

arXiv:2602.10887v2 Announce Type: replace Abstract: Coupled-cluster (CC) theory and Green's function many-body perturbation theory (MBPT) have long evolved as distinct yet complementary frameworks for describing electronic correlation. While CC methods employ exponential wavefunction parametrizations that guarantee size extensivity and systematic improvability, Green's function approaches such as the $GW$ approximation describe quasiparticle and optical excitations through diagrammatic...

arXiv Physics 5d ago