{"list":"other","total":63,"rows":[{"id":"2407.21783","title":"The Llama 3 Herd of Models","created":"2024-07-31","cited_by_count":14715},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"2502.13923","title":"Qwen2.5-VL Technical Report","created":"2025-02-19","cited_by_count":5587},{"id":"2204.02311","title":"PaLM: Scaling Language Modeling with Pathways","created":"2022-04-05","cited_by_count":5326},{"id":"2412.15115","title":"Qwen2.5 Technical Report","created":"2024-12-19","cited_by_count":4942},{"id":"2410.21276","title":"GPT-4o System Card","created":"2024-10-25","cited_by_count":4588},{"id":"1606.05250","title":"SQuAD: 100,000+ Questions for Machine Comprehension of Text","created":"2016-06-16","cited_by_count":4148},{"id":"2507.06261","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","created":"2025-07-07","cited_by_count":3796},{"id":"2310.06825","title":"Mistral 7B","created":"2023-10-10","cited_by_count":3164},{"id":"1509.01626","title":"Character-level Convolutional Networks for Text Classification","created":"2015-09-04","cited_by_count":2330},{"id":"2408.00118","title":"Gemma 2: Improving Open Language Models at a Practical Size","created":"2024-07-31","cited_by_count":1998},{"id":"1808.08745","title":"Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization","created":"2018-08-27","cited_by_count":1317},{"id":"1805.04833","title":"Hierarchical Neural Story Generation","created":"2018-05-13","cited_by_count":1193},{"id":"2301.11305","title":"DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature","created":"2023-01-26","cited_by_count":726},{"id":"2301.10226","title":"A Watermark for Large Language Models","created":"2023-01-24","cited_by_count":725},{"id":"2401.02954","title":"DeepSeek LLM: Scaling Open-Source Language Models with Longtermism","created":"2024-01-05","cited_by_count":642},{"id":"1908.09203","title":"Release Strategies and the Social Impacts of Language Models","created":"2019-08-24","cited_by_count":513},{"id":"1906.04043","title":"GLTR: Statistical Detection and Visualization of Generated Text","created":"2019-06-10","cited_by_count":496},{"id":"2301.07597","title":"How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection","created":"2023-01-18","cited_by_count":481},{"id":"2303.13408","title":"Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense","created":"2023-03-23","cited_by_count":429},{"id":"2307.15593","title":"Robust Distortion-free Watermarks for Language Models","created":"2023-07-28","cited_by_count":320},{"id":"2306.17439","title":"Provable Robust Watermarking for AI-Generated Text","created":"2023-06-30","cited_by_count":299},{"id":"2310.05130","title":"Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature","created":"2023-10-08","cited_by_count":287},{"id":"2401.12070","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","created":"2024-01-22","cited_by_count":263},{"id":"1911.00650","title":"Automatic Detection of Generated Text is Easiest when Humans are Fooled","created":"2019-11-02","cited_by_count":261},{"id":"2306.09194","title":"Undetectable Watermarks for Language Models","created":"2023-05-25","cited_by_count":226},{"id":"2306.05540","title":"DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text","created":"2023-05-23","cited_by_count":210},{"id":"2307.03838","title":"RADAR: Robust AI-Text Detection via Adversarial Learning","created":"2023-07-07","cited_by_count":190},{"id":"2304.02819","title":"GPT detectors are biased against non-native English writers","created":"2023-04-06","cited_by_count":178},{"id":"2312.00506","title":"Generative artificial intelligence enhances creativity but reduces the diversity of novel content","created":"2023-12-01","cited_by_count":167},{"id":"2305.17359","title":"DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text","created":"2023-05-27","cited_by_count":129},{"id":"2306.04723","title":"Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts","created":"2023-06-07","cited_by_count":112},{"id":"2310.10669","title":"Unbiased Watermark for Large Language Models","created":"2023-09-22","cited_by_count":111},{"id":"2310.14724","title":"A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions","created":"2023-10-23","cited_by_count":105},{"id":"2305.15047","title":"Ghostbuster: Detecting Text Ghostwritten by Large Language Models","created":"2023-05-24","cited_by_count":91},{"id":"2301.13852","title":"ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text","created":"2023-01-30","cited_by_count":85},{"id":"2307.11729","title":"OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples","created":"2023-07-21","cited_by_count":80},{"id":"2203.07618","title":"Do Language Models Plagiarize?","created":"2022-03-15","cited_by_count":73},{"id":"2310.15654","title":"A Survey on Detection of LLMs-Generated Content","created":"2023-10-24","cited_by_count":71},{"id":"2401.13927","title":"Adaptive Text Watermark for Large Language Models","created":"2024-01-25","cited_by_count":67},{"id":"2001.04515","title":"Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings","created":"2020-01-13","cited_by_count":65},{"id":"2305.18149","title":"Multiscale Positive-Unlabeled Detection of AI-Generated Texts","created":"2023-05-29","cited_by_count":61},{"id":"2303.03697","title":"Stylometric Detection of AI-Generated Text in Twitter Timelines","created":"2023-03-07","cited_by_count":59},{"id":"2404.01245","title":"A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules","created":"2024-04-01","cited_by_count":57},{"id":"2310.07710","title":"A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models","created":"2023-10-11","cited_by_count":56},{"id":"2403.04808","title":"WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off","created":"2024-03-06","cited_by_count":54},{"id":"2410.20964","title":"DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning","created":"2024-10-28","cited_by_count":53},{"id":"2402.18059","title":"Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models","created":"2024-02-28","cited_by_count":34},{"id":"2411.13868","title":"Robust Detection of Watermarks for Large Language Models Under Human Edits","created":"2024-11-21","cited_by_count":31},{"id":"2304.11567","title":"Differentiate ChatGPT-generated and Human-written Medical Texts","created":"2023-04-23","cited_by_count":26},{"id":"2203.07983","title":"Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers","created":"2022-03-02","cited_by_count":25},{"id":"2312.17295","title":"Optimizing watermarks for large language models","created":"2023-12-28","cited_by_count":25},{"id":"2502.17814","title":"An Overview of Large Language Models for Statisticians","created":"2025-02-25","cited_by_count":24},{"id":"2412.10432","title":"Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection","created":"2024-12-11","cited_by_count":23},{"id":"2402.16041","title":"Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy","created":"2024-02-25","cited_by_count":20},{"id":"2102.04458","title":"Detecting Fake News Using Machine Learning : A Systematic Literature Review","created":"2021-02-08","cited_by_count":19},{"id":"2305.12519","title":"DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection","created":"2023-05-21","cited_by_count":18},{"id":"2410.13805","title":"A Watermark for Order-Agnostic Language Models","created":"2024-10-17","cited_by_count":14},{"id":"2406.02633","title":"Edit Distance Robust Watermarks via Indexing Pseudorandom Codes","created":"2024-06-04","cited_by_count":13},{"id":"2406.05232","title":"DALD: Improving Logits-based Detector without Logits from Black-box LLMs","created":"2024-06-07","cited_by_count":13},{"id":"2311.03084","title":"A Simple yet Efficient Ensemble Approach for AI-generated Text Detection","created":"2023-11-06","cited_by_count":12},{"id":"2405.17382","title":"ReMoDetect: Reward Models Recognize Aligned LLM's Generations","created":"2024-05-27","cited_by_count":11},{"id":"2501.02441","title":"A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models","created":"2025-01-05","cited_by_count":2}],"next_cursor":null}