machine-generated text

OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SemEval 2024 Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors EACL 2024 Team art-nat-HHU at SemEval-2024 Task 8: Stylistically Informed Fusion Model for MGT-Detection SemEval 2024 Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text SemEval 2024 Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs ACL 2024 TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text SemEval 2024 Watermarking for Large Language Models ACL 2024 Who Wrote this Code? Watermarking for Code Generation ACL 2024 DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature ICML 2023 DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text EMNLP 2023 MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types ACL 2023 All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text ACL 2021 Authorship Attribution for Neural Text Generation EMNLP 2020 Automatic Detection of Machine Generated Text: A Critical Survey COLING 2020 How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study EMNLP 2020 RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text EMNLP 2020