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Papers
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
SemEval 2024
Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text
SemEval 2024
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation
EMNLP 2024
SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text
SemEval 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
Team AT at SemEval-2024 Task 8: Machine-Generated Text Detection with Semantic Embeddings
SemEval 2024
Team Innovative at SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection
SemEval 2024
Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text
SemEval 2024
Team Unibuc - NLP at SemEval-2024 Task 8: Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection
SemEval 2024
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs
ACL 2024
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
SemEval 2024
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection
SemEval 2024
UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection
SemEval 2024
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings
SemEval 2024
WatME: Towards Lossless Watermarking Through Lexical Redundancy
ACL 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
SemEval 2024
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness
EMNLP 2024
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning
EMNLP 2023
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
EMNLP 2023
Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era.
ACL 2023
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
EMNLP 2023
On the Zero-Shot Generalization of Machine-Generated Text Detectors
EMNLP 2023
Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text
AAAI 2023
Cross-Domain Detection of GPT-2-Generated Technical Text
NAACL 2022
SynSciPass: detecting appropriate uses of scientific text generation
COLING 2022