arXiv:2403.19354
공식 코드 · Papers with Code
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4
원문 초록
This paper describes AIpom, a system designed to detect a boundary between human-written and machine-generated text (SemEval-2024 Task 8, Subtask C: Human-Machine Mixed Text Detection). We propose a two-stage pipeline combining predictions from an instruction-tuned decoder-only model and encoder-only sequence taggers. AIpom is ranked second on the leaderboard while achieving a Mean Absolute Error of 15.94. Ablation studies confirm the benefits of pipelining encoder and decoder models, particularly in terms of improved performance.
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$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting
Real-Time ESFP: Estimating, Smoothing, Filtering, and Pose-Mapping
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