{"list":"other","total":76,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2203.02155","title":"Training language models to follow instructions with human feedback","created":"2022-03-04","cited_by_count":15971},{"id":"1707.06347","title":"Proximal Policy Optimization Algorithms","created":"2017-07-20","cited_by_count":15215},{"id":"1907.11692","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","created":"2019-07-26","cited_by_count":13372},{"id":"1908.10084","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","created":"2019-08-27","cited_by_count":9170},{"id":"2305.18290","title":"Direct Preference Optimization: Your Language Model is Secretly a Reward Model","created":"2023-05-29","cited_by_count":8065},{"id":"1412.6572","title":"Explaining and Harnessing Adversarial Examples","created":"2014-12-20","cited_by_count":7364},{"id":"1910.13461","title":"BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension","created":"2019-10-29","cited_by_count":5893},{"id":"1609.07843","title":"Pointer Sentinel Mixture Models","created":"2016-09-26","cited_by_count":3096},{"id":"2212.08073","title":"Constitutional AI: Harmlessness from AI Feedback","created":"2022-12-15","cited_by_count":3050},{"id":"1909.08053","title":"Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism","created":"2019-09-17","cited_by_count":1868},{"id":"2010.11934","title":"mT5: A massively multilingual pre-trained text-to-text transformer","created":"2020-10-22","cited_by_count":1818},{"id":"2302.12173","title":"Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection","created":"2023-02-23","cited_by_count":1443},{"id":"2305.10403","title":"PaLM 2 Technical Report","created":"2023-05-17","cited_by_count":1162},{"id":"1506.06724","title":"Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books","created":"2015-06-22","cited_by_count":1043},{"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":"2304.03277","title":"Instruction Tuning with GPT-4","created":"2023-04-06","cited_by_count":686},{"id":"1907.11932","title":"Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment","created":"2019-07-27","cited_by_count":671},{"id":"1609.02943","title":"Stealing Machine Learning Models via Prediction APIs","created":"2016-09-09","cited_by_count":619},{"id":"1905.12616","title":"Defending Against Neural Fake News","created":"2019-05-29","cited_by_count":559},{"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":"1803.11175","title":"Universal Sentence Encoder","created":"2018-03-29","cited_by_count":489},{"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":"2304.05302","title":"RRHF: Rank Responses to Align Language Models with Human Feedback without tears","created":"2023-04-11","cited_by_count":463},{"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":"2303.11156","title":"Can AI-Generated Text be Reliably Detected?","created":"2023-03-17","cited_by_count":386},{"id":"1812.05271","title":"TextBugger: Generating Adversarial Text Against Real-world Applications","created":"2018-12-13","cited_by_count":381},{"id":"1812.02766","title":"Knockoff Nets: Stealing Functionality of Black-Box Models","created":"2018-12-06","cited_by_count":292},{"id":"2306.17492","title":"Preference Ranking Optimization for Human Alignment","created":"2023-06-30","cited_by_count":285},{"id":"1911.00650","title":"Automatic Detection of Generated Text is Easiest when Humans are Fooled","created":"2019-11-02","cited_by_count":261},{"id":"1801.02610","title":"Generating Adversarial Examples with Adversarial Networks","created":"2018-01-08","cited_by_count":258},{"id":"2104.13733","title":"Gradient-based Adversarial Attacks against Text Transformers","created":"2021-04-15","cited_by_count":234},{"id":"2307.04964","title":"Secrets of RLHF in Large Language Models Part I: PPO","created":"2023-07-11","cited_by_count":229},{"id":"2307.03838","title":"RADAR: Robust AI-Text Detection via Adversarial Learning","created":"2023-07-07","cited_by_count":190},{"id":"2005.12729","title":"Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO","created":"2020-05-25","cited_by_count":186},{"id":"1907.12461","title":"Leveraging Pre-trained Checkpoints for Sequence Generation Tasks","created":"2019-07-29","cited_by_count":182},{"id":"2304.02819","title":"GPT detectors are biased against non-native English writers","created":"2023-04-06","cited_by_count":178},{"id":"2309.13788","title":"Can LLM-Generated Misinformation Be Detected?","created":"2023-09-25","cited_by_count":177},{"id":"2009.03015","title":"Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding","created":"2020-09-07","cited_by_count":130},{"id":"2303.14822","title":"MGTBench: Benchmarking Machine-Generated Text Detection","created":"2023-03-26","cited_by_count":93},{"id":"2009.09191","title":"OpenAttack: An Open-source Textual Adversarial Attack Toolkit","created":"2020-09-19","cited_by_count":84},{"id":"2112.02701","title":"Protecting Intellectual Property of Language Generation APIs with Lexical Watermark","created":"2021-12-05","cited_by_count":84},{"id":"1802.08686","title":"Adversarial vulnerability for any classifier","created":"2018-02-23","cited_by_count":78},{"id":"2310.18491","title":"Publicly-Detectable Watermarking for Language Models","created":"2023-10-27","cited_by_count":76},{"id":"2305.14483","title":"Language Model Self-improvement by Reinforcement Learning Contemplation","created":"2023-05-23","cited_by_count":75},{"id":"2112.05224","title":"Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures","created":"2021-12-09","cited_by_count":73},{"id":"2106.09898","title":"Bad Characters: Imperceptible NLP Attacks","created":"2021-06-18","cited_by_count":71},{"id":"1805.11749","title":"Unsupervised Text Style Transfer using Language Models as Discriminators","created":"2018-05-30","cited_by_count":70},{"id":"2002.03912","title":"A Probabilistic Formulation of Unsupervised Text Style Transfer","created":"2020-02-10","cited_by_count":70},{"id":"2305.18149","title":"Multiscale Positive-Unlabeled Detection of AI-Generated Texts","created":"2023-05-29","cited_by_count":61},{"id":"2103.04264","title":"T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification","created":"2021-03-07","cited_by_count":60},{"id":"2203.03802","title":"Understanding Iterative Revision from Human-Written Text","created":"2022-03-08","cited_by_count":57},{"id":"2310.00212","title":"Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment","created":"2023-09-30","cited_by_count":57},{"id":"2210.14250","title":"Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature","created":"2022-10-25","cited_by_count":45},{"id":"2010.07475","title":"Neural Deepfake Detection with Factual Structure of Text","created":"2020-10-15","cited_by_count":41},{"id":"1810.00314","title":"CODIT: Code Editing with Tree-Based Neural Models","created":"2018-09-30","cited_by_count":40},{"id":"2010.02498","title":"GRUEN for Evaluating Linguistic Quality of Generated Text","created":"2020-10-06","cited_by_count":37},{"id":"2210.09421","title":"Deepfake Text Detection: Limitations and Opportunities","created":"2022-10-17","cited_by_count":37},{"id":"2212.10543","title":"Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts","created":"2022-12-20","cited_by_count":36},{"id":"2307.07873","title":"Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability","created":"2023-07-15","cited_by_count":32},{"id":"2209.13331","title":"EditEval: An Instruction-Based Benchmark for Text Improvements","created":"2022-09-27","cited_by_count":30},{"id":"2306.05524","title":"On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing","created":"2023-06-07","cited_by_count":27},{"id":"2108.09454","title":"\"Adversarial Examples\" for Proof-of-Learning","created":"2021-08-21","cited_by_count":20},{"id":"2205.11484","title":"Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond","created":"2022-05-23","cited_by_count":20},{"id":"2307.02599","title":"Evade ChatGPT Detectors via A Single Space","created":"2023-07-05","cited_by_count":18},{"id":"2201.10707","title":"A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model","created":"2022-01-26","cited_by_count":16},{"id":"2204.08123","title":"Non-Parallel Text Style Transfer with Self-Parallel Supervision","created":"2022-04-18","cited_by_count":11},{"id":"2406.19311","title":"Zero-Query Adversarial Attack on Black-box Automatic Speech Recognition Systems","created":"2024-06-27","cited_by_count":10},{"id":"2203.09742","title":"GRS: Combining Generation and Revision in Unsupervised Sentence Simplification","created":"2022-03-18","cited_by_count":6},{"id":"2308.09146","title":"That Doesn't Go There: Attacks on Shared State in Multi-User Augmented Reality Applications","created":"2023-08-17","cited_by_count":3},{"id":"2311.05019","title":"DEMASQ: Unmasking the ChatGPT Wordsmith","created":"2023-11-08","cited_by_count":2},{"id":"2412.17111","title":"Learning to Adapt to Low-Resource Paraphrase Generation","created":"2024-12-22","cited_by_count":2}],"next_cursor":null}