A benchmark and agent for CTF solving, but the agent's retrieval database appears to contain the answers to the test challenges, undermining the reported improvements.
LLM for Mobile: An Initial Roadmap
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abstract
When mobile meets LLMs, mobile app users deserve to have more intelligent usage experiences. For this to happen, we argue that there is a strong need to appl LLMs for the mobile ecosystem. We therefore provide a research roadmap for guiding our fellow researchers to achieve that as a whole. In this roadmap, we sum up six directions that we believe are urgently required for research to enable native intelligence in mobile devices. In each direction, we further summarize the current research progress and the gaps that still need to be filled by our fellow researchers.
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cs.AI 1years
2025 1verdicts
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Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges
A benchmark and agent for CTF solving, but the agent's retrieval database appears to contain the answers to the test challenges, undermining the reported improvements.