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Hallucinated vulnerabilities from LLMs are not just a nuisance; they create a cognitive burden that can overwhelm cybersecurity triage systems.
Fluent responses from multimodal language models can mislead, as they often lack the evidence-grounded clinical reasoning necessary for accurate diagnosis.
Reliable detection of malicious agent skills hinges on a comprehensive benchmark that reveals stark differences in threat composition across sources.
Allocating additional computation during decision-making boosts long-horizon robot manipulation success by significantly enhancing subtask prediction accuracy.
Real-world coding tasks, reverse-engineered from actual commits and scenarios, make Tencent WorkBuddy Bench a game-changer in contamination-resistant evaluation for coding agents.
CRISP achieves superior long-horizon point cloud forecasting and versatile downstream task performance by leveraging a unique forecasting-based pretraining approach with camera-radar fusion.
Prompt complexity is a critical dimension that significantly influences maintenance effort, challenging traditional views that prioritize code-level metrics alone.
