This tutorial-style review focuses on kinematics of inertial measurement units (IMUs) for human motion capture and introduces methods to determine adequate formulations for sensor measurements.

This paper audits eight automatic scorers for attribution in LLM retrieval-augmented generation and finds that none of them transfer across datasets for generated-answer attribution.

The paper introduces CalArena, a large-scale, standardized benchmark covering nearly 2000 experiments to comprehensively evaluate post-hoc calibration methods, finding that smooth calibration function…

The paper proposes PagedWeight, a method for managing Mixture-of-Experts (MoE) language model serving in KV-cache-intensive scenarios, achieving FP16-equivalent accuracy with up to 72.0% GPU memory sa…

This paper proposes a threshold-free checkpoint audit method using two internal signals to detect if an open-weight checkpoint's refusal mechanism has been stripped.

The paper developed and validated Quantitative Movement Testing (QMT), a computer vision pipeline that accurately extracts 3D kinematic biomarkers from standard smartphone videos, providing an objecti…

The paper proposes a finite-calibration regime map to determine the optimal calibration method (low-dimensional stackers vs. joint tables) for LLM judge panels given limited human labeling budgets, sh…

The paper introduces an Item Response Theory (IRT)-based indicator that effectively identifies likely mislabeled items in existing LLM benchmarks, revealing systematic errors in labeling and model spe…

A new framework called subject-conditioned residual diffusion generates personalized lower-limb kinematics at unseen walking speeds from a subject's gait sequence at a single seen speed.

The paper introduces STARFISH, a novel healing method that efficiently recovers significant accuracy in heavily pruned neural networks by optimizing the pruned model to match the original network's in…

This paper proposes SonoRank, a method for calibration-free finger flexion detection from forearm ultrasound video using pairwise ranking and fine-tuning.

The paper demonstrates that using synthetic hand images containing accessories, generated via inpainting, significantly improves the robustness of hand detectors for safety-critical applications by cl…

The paper proposes the Frequency-Weighted Neural Kalman Filter (FW-NKF), a hybrid approach that improves state estimation for robotics by explicitly suppressing frequency-dependent noise components in…

The paper introduces using frozen, generalist value functions as differentiable surrogates to efficiently optimize and analyze new multi-embodiment robot designs without requiring repeated reinforceme…

The paper demonstrates that passive motion traces recorded during a mobile selfie capture can serve as a measurable, low-friction auxiliary signal for enhancing both spoof screening and user identity…