LLMTrace: A Corpus for Classification and Fine-Grained Localization of AI-Written Text

arXiv:2509.21269 · cs.CL · Submitted 2025-09-25 · Read on arXiv

cs.CL

Submitted: 2025-09-25

Updated: 2026-08-26

Comments: EMNLP 2026 Findings

Code: https://github.com/RussianNLP/RussianSuperGLUEhttps:

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 16× in this paper · explained in 2 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Adam — 6× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Benchmarking — 4× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 4× in this paper · explained in 6 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Generalizability — 2× in this paper · explained in 6 episodes
• Levenshtein Distance — 2× in this paper
• Persistence Homology Dimension — 2× in this paper
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Intrinsic Dimension — 1× in this paper · explained in 2 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Beemo: Benchmark of Expert-edited Machine-generated Outputs
• ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination
• Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection
• SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
• Hierarchical Neural Story Generation
• Limits of LLM Text Detectors in Education
• Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts
• How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• GPT-4o System Card
• OpenAI o1 System Card
• Mistral 7B
• AI-generated text boundary detection with RoFT
• MAGE: Machine-generated Text Detection in the Wild
• MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
• MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
• Humans can learn to detect AI-generated texts, or at least learn when they can't
• Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

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