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Queen Mary University of London
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LLMs can compress context better than dedicated compression modules, simply by prompting them to "think" about the task.
Stop wrestling with fragmented MGT detection benchmarks: MGTEVAL offers a unified platform to build, attack, train, and evaluate detectors with ease.
User interaction can break your LLM's confidence calibration, but this new method can fix it.
