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University of Electronic Science and Technology of China
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Synthesizing realistic, privacy-preserving urban mobility data is now possible with LLMs that generate travel patterns, not just GPS points, boosting generation quality by nearly 30%.
Achieve up to 55.7% token reduction and 4.1% accuracy improvement in language reasoning by selectively compressing reasoning traces, proving that less can be more.