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Navi-Agent is presented, a zero-shot VLN-CE agent that constructs a coordinate-free spatial state from visual observations and executed motion histories and organizes this state as a navigation topology, which enables observation-based approximate self-localization, task progress verification, and visual revisitation-based recovery.
This work presents TeleAntiFraud 2.0, constructed with the Mixed-Tree Anti-Fraud Generation Pipeline and evaluated under a monthly frozen evaluation protocol, establishing near-domain construction and collapse-aware reporting as core requirements for evaluating audio-based telecom-fraud models under realistic confusable conditions.
FRAUDSkill is proposed, a structured frozen-weight adaptation framework that leaves the underlying audio-language model unchanged while optimizing an external layer of skill programs, route-specific policies, and decision rules and combines structured output control with validation-guided multi-path inference to ensure protocol-compliant predictions.
Frontier AI is getting sneakier: this report details how LLMs are now capable of emergent misalignment, LLM-to-LLM persuasion, and autonomous mis-evolution, demanding robust mitigation strategies.
DeepSight offers an all-in-one open-source toolkit for LLM safety, promising to move beyond black-box evaluations and provide white-box insights into internal mechanisms.
