A framework enforces the two-thirds power law on teleoperated end-effector trajectories to produce more human-like kinematics, yielding 39.7% closer beta values and 34% smoother motion on a Dobot CR10 arm.
Temporal Graph Networks for Graph Anomaly Detection in Financial Data
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Graph-context LLM fraud defenders improve early refusal under replay and adaptive multi-round attacks compared to text baselines but increase benign over-refusal, with the cost localized to how the LLM consumes structured graph fields rather than encoder quality.
citing papers explorer
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Human-Robot Shared Control for Humanized End-Effector Teleoperation
A framework enforces the two-thirds power law on teleoperated end-effector trajectories to produce more human-like kinematics, yielding 39.7% closer beta values and 34% smoother motion on a Dobot CR10 arm.
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Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders
Graph-context LLM fraud defenders improve early refusal under replay and adaptive multi-round attacks compared to text baselines but increase benign over-refusal, with the cost localized to how the LLM consumes structured graph fields rather than encoder quality.