{"total":252,"rows":[{"id":"2401.12070","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","created":"2024-01-22","cited_by_count":263,"area":null},{"id":"2403.07183","title":"Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews","created":"2024-03-11","cited_by_count":164,"area":null},{"id":"2405.07940","title":"RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors","created":"2024-05-13","cited_by_count":163,"area":null},{"id":"2411.00816","title":"CycleResearcher: Improving Automated Research via Automated Review","created":"2024-10-28","cited_by_count":148,"area":null},{"id":"2404.01268","title":"Mapping the Increasing Use of LLMs in Scientific Papers","created":"2024-04-01","cited_by_count":118,"area":null},{"id":"2405.01147","title":"Why Tabular Foundation Models Should Be a Research Priority","created":"2024-05-02","cited_by_count":106,"area":null},{"id":"2310.14724","title":"A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions","created":"2023-10-23","cited_by_count":105,"area":null},{"id":"2310.15654","title":"A Survey on Detection of LLMs-Generated Content","created":"2023-10-24","cited_by_count":71,"area":null},{"id":"2509.26603","title":"DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively","created":"2025-09-30","cited_by_count":63,"area":null},{"id":"2402.11175","title":"M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection","created":"2024-02-17","cited_by_count":43,"area":null},{"id":"2410.04265","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","created":"2024-10-05","cited_by_count":42,"area":null},{"id":"2501.15654","title":"People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text","created":"2025-01-26","cited_by_count":40,"area":null},{"id":"2410.23746","title":"DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios","created":"2024-10-31","cited_by_count":38,"area":null},{"id":"2504.04715","title":"Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs","created":"2025-04-07","cited_by_count":38,"area":null},{"id":"2410.06072","title":"Training-free LLM-generated Text Detection by Mining Token Probability Sequences","created":"2024-10-08","cited_by_count":35,"area":null},{"id":"2405.14057","title":"Your Large Language Models Are Leaving Fingerprints","created":"2024-05-22","cited_by_count":33,"area":null},{"id":"2502.12150","title":"Idiosyncrasies in Large Language Models","created":"2025-02-17","cited_by_count":33,"area":null},{"id":"2401.06461","title":"Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers","created":"2024-01-12","cited_by_count":27,"area":null},{"id":"2405.04286","title":"Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore","created":"2024-05-07","cited_by_count":27,"area":null},{"id":"2402.11638","title":"Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks","created":"2024-02-18","cited_by_count":26,"area":null},{"id":"2406.11811","title":"RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content","created":"2024-06-17","cited_by_count":26,"area":null},{"id":"2510.03154","title":"EditLens: Quantifying the Extent of AI Editing in Text","created":"2025-10-03","cited_by_count":26,"area":null},{"id":"2406.19874","title":"Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood","created":"2024-06-28","cited_by_count":24,"area":null},{"id":"2508.13152","title":"RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns","created":"2025-08-18","cited_by_count":24,"area":null},{"id":"2406.15583","title":"Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods","created":"2024-06-21","cited_by_count":23,"area":null},{"id":"2410.08044","title":"The Rise of AI-Generated Content in Wikipedia","created":"2024-10-10","cited_by_count":22,"area":null},{"id":"2407.03658","title":"GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels","created":"2024-07-04","cited_by_count":21,"area":null},{"id":"2502.19614","title":"Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review","created":"2025-02-26","cited_by_count":21,"area":null},{"id":"2510.01268","title":"AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees","created":"2025-09-29","cited_by_count":21,"area":null},{"id":"2501.03437","title":"DAMAGE: Detecting Adversarially Modified AI Generated Text","created":"2025-01-06","cited_by_count":20,"area":null},{"id":"2401.07867","title":"Authorship Obfuscation in Multilingual Machine-Generated Text Detection","created":"2024-01-15","cited_by_count":19,"area":null},{"id":"2403.01152","title":"A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization","created":"2024-03-02","cited_by_count":19,"area":null},{"id":"2502.15666","title":"Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing","created":"2025-02-21","cited_by_count":19,"area":null},{"id":"2409.13686","title":"The Impact of Large Language Models in Academia: from Writing to Speaking","created":"2024-09-20","cited_by_count":18,"area":null},{"id":"2506.07001","title":"Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text","created":"2025-06-08","cited_by_count":17,"area":null},{"id":"2405.12689","title":"Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text","created":"2024-05-21","cited_by_count":16,"area":null},{"id":"2406.18259","title":"Detecting Machine-Generated Texts: Not Just \"AI vs Humans\" and Explainability is Complicated","created":"2024-06-26","cited_by_count":15,"area":null},{"id":"2506.02959","title":"HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring","created":"2025-06-03","cited_by_count":15,"area":null},{"id":"2406.12549","title":"MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts","created":"2024-06-18","cited_by_count":14,"area":null},{"id":"2412.11506","title":"Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection","created":"2024-12-16","cited_by_count":14,"area":null},{"id":"2403.15690","title":"EAGLE: A Domain Generalization Framework for AI-generated Text Detection","created":"2024-03-23","cited_by_count":13,"area":null},{"id":"2406.05232","title":"DALD: Improving Logits-based Detector without Logits from Black-box LLMs","created":"2024-06-07","cited_by_count":13,"area":null},{"id":"2406.11239","title":"SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs","created":"2024-06-17","cited_by_count":13,"area":null},{"id":"2408.04237","title":"Learning to Rewrite: Generalized LLM-Generated Text Detection","created":"2024-08-08","cited_by_count":13,"area":null},{"id":"2409.16914","title":"Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness","created":"2024-09-25","cited_by_count":13,"area":null},{"id":"2311.12574","title":"IMGTB: A Framework for Machine-Generated Text Detection Benchmarking","created":"2023-11-21","cited_by_count":12,"area":null},{"id":"2502.05240","title":"Survey on AI-Generated Media Detection: From Non-MLLM to MLLM","created":"2025-02-07","cited_by_count":12,"area":null},{"id":"2510.17489","title":"DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning","created":"2025-10-20","cited_by_count":12,"area":null},{"id":"2402.00263","title":"Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better","created":"2024-02-01","cited_by_count":11,"area":null},{"id":"2402.11744","title":"Machine-Generated Text Localization","created":"2024-02-19","cited_by_count":11,"area":null},{"id":"2407.09364","title":"Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text","created":"2024-07-12","cited_by_count":11,"area":null},{"id":"2410.22318","title":"Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting","created":"2024-10-29","cited_by_count":11,"area":null},{"id":"2412.05139","title":"A Practical Examination of AI-Generated Text Detectors for Large Language Models","created":"2024-12-06","cited_by_count":11,"area":null},{"id":"2503.13733","title":"CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2509.15550","title":"DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm","created":"2025-09-19","cited_by_count":11,"area":null},{"id":"2602.13042","title":"GPTZero: Robust Detection of LLM-Generated Texts","created":"2026-02-13","cited_by_count":11,"area":null},{"id":"2402.01158","title":"LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning","created":"2024-02-02","cited_by_count":10,"area":null},{"id":"2410.14677","title":"Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts","created":"2024-10-18","cited_by_count":10,"area":null},{"id":"2412.17242","title":"On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing","created":"2024-12-23","cited_by_count":10,"area":null},{"id":"2505.05084","title":"Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction","created":"2025-05-08","cited_by_count":10,"area":null},{"id":"2505.15337","title":"Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors","created":"2025-05-21","cited_by_count":10,"area":null},{"id":"2509.15735","title":"EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs","created":"2025-09-19","cited_by_count":10,"area":null},{"id":"2601.06586","title":"Detecting LLM-Generated Text with Performance Guarantees","created":"2026-01-10","cited_by_count":10,"area":null},{"id":"2410.03658","title":"RAFT: Realistic Attacks to Fool Text Detectors","created":"2024-10-04","cited_by_count":9,"area":null},{"id":"2504.11369","title":"OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution","created":"2025-04-15","cited_by_count":9,"area":null},{"id":"2506.06705","title":"DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains","created":"2025-06-07","cited_by_count":9,"area":null},{"id":"2507.10583","title":"$\\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection","created":"2025-07-11","cited_by_count":9,"area":null},{"id":"2509.02499","title":"MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds","created":"2025-09-02","cited_by_count":9,"area":null},{"id":"2509.14268","title":"DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models","created":"2025-09-15","cited_by_count":9,"area":null},{"id":"2604.03136","title":"StoryScope: Investigating idiosyncrasies in AI fiction","created":"2026-04-03","cited_by_count":9,"area":null},{"id":"2410.09770","title":"'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews","created":"2024-10-13","cited_by_count":8,"area":null},{"id":"2503.08708","title":"TH-Bench: Evaluating Evading Attacks via Humanizing AI Text on Machine-Generated Text Detectors","created":"2025-03-10","cited_by_count":8,"area":null},{"id":"2505.18128","title":"Frankentext: Stitching random text fragments into long-form narratives","created":"2025-05-23","cited_by_count":8,"area":null},{"id":"2506.02350","title":"Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection","created":"2025-06-03","cited_by_count":8,"area":null},{"id":"2508.01656","title":"Authorship Attribution in Multilingual Machine-Generated Texts","created":"2025-08-03","cited_by_count":8,"area":null},{"id":"2509.25154","title":"Who's Your Judge? On the Detectability of LLM-Generated Judgments","created":"2025-09-29","cited_by_count":8,"area":null},{"id":"2510.08602","title":"Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection","created":"2025-10-07","cited_by_count":8,"area":null},{"id":"2601.21895","title":"Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text","created":"2026-01-29","cited_by_count":8,"area":null},{"id":"2603.01919","title":"Real Money, Fake Models: Deceptive Model Claims in Shadow APIs","created":"2026-03-02","cited_by_count":8,"area":null},{"id":"2406.06558","title":"Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection","created":"2024-06-01","cited_by_count":7,"area":null},{"id":"2505.11336","title":"XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration","created":"2025-05-16","cited_by_count":7,"area":null},{"id":"2402.11167","title":"ToBlend: Token-Level Blending With an Ensemble of LLMs to Attack AI-Generated Text Detection","created":"2024-02-17","cited_by_count":6,"area":null},{"id":"2403.20127","title":"The Impact of Prompts on Zero-Shot Detection of AI-Generated Text","created":"2024-03-29","cited_by_count":6,"area":null},{"id":"2410.19230","title":"Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors","created":"2024-10-25","cited_by_count":6,"area":null},{"id":"2503.00258","title":"Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text","created":"2025-03-01","cited_by_count":6,"area":null},{"id":"2506.01702","title":"mdok of KInIT: Robustly Fine-tuned LLM for Binary and Multiclass AI-Generated Text Detection","created":"2025-06-02","cited_by_count":6,"area":null},{"id":"2507.03373","title":"WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia","created":"2025-07-04","cited_by_count":6,"area":null},{"id":"2509.15350","title":"Real, Fake, or Manipulated? Detecting Machine-Influenced Text","created":"2025-09-18","cited_by_count":6,"area":null},{"id":"2509.18880","title":"Diversity Boosts AI-Generated Text Detection","created":"2025-09-23","cited_by_count":6,"area":null},{"id":"2512.05379","title":"Mitigating Self-Preference by Authorship Obfuscation","created":"2025-12-05","cited_by_count":6,"area":null},{"id":"2401.09407","title":"Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text","created":"2024-01-17","cited_by_count":5,"area":null},{"id":"2405.10516","title":"Language Models can Evaluate Themselves via Probability Discrepancy","created":"2024-05-17","cited_by_count":5,"area":null},{"id":"2407.03646","title":"Differentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features","created":"2024-07-04","cited_by_count":5,"area":null},{"id":"2407.13105","title":"Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2410.09569","title":"Are You Human? An Adversarial Benchmark to Expose LLMs","created":"2024-10-12","cited_by_count":5,"area":null},{"id":"2410.12600","title":"On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs","created":"2024-10-16","cited_by_count":5,"area":null},{"id":"2410.21637","title":"Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion","created":"2024-10-29","cited_by_count":5,"area":null},{"id":"2501.02406","title":"A Training-free Method for LLM Text Attribution","created":"2025-01-04","cited_by_count":5,"area":null},{"id":"2501.18998","title":"Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings","created":"2025-01-31","cited_by_count":5,"area":null},{"id":"2503.08684","title":"Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents","created":"2025-03-11","cited_by_count":5,"area":null}],"next_cursor":"100"}