llm detection

FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning EACL 2026 Unsupervised Detection of LLM-Generated Text in Korean Using Syntactic and Semantic Cues EACL 2026 Utterance-level Detection Framework for LLM-Involved Content Detection in Conversational Setting EACL 2026 AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts EMNLP 2025 Beyond Checkmate: Exploring the Creative Choke Points for AI Generated Texts EMNLP 2025 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025 SENTRA: Selected-Next-Token Transformer for LLM Text Detection EMNLP 2025 WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia ACL 2025 BUST: Benchmark for the evaluation of detectors of LLM-Generated Text NAACL 2024 DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios NeurIPS 2024 FRASIMED: A Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection COLING 2024 M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection EACL 2024 RAFT: Realistic Attacks to Fool Text Detectors EMNLP 2024 Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text ICML 2024