{"total":28,"rows":[{"id":"2302.03668","title":"Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery","created":"2023-02-07","cited_by_count":336,"area":null},{"id":"2310.00656","title":"LEGO-Prover: Neural Theorem Proving with Growing Libraries","created":"2023-10-01","cited_by_count":109,"area":null},{"id":"2404.08031","title":"Latent Guard: a Safety Framework for Text-to-image Generation","created":"2024-04-11","cited_by_count":71,"area":null},{"id":"2303.11568","title":"Large AI Models in Health Informatics: Applications, Challenges, and the Future","created":"2023-03-21","cited_by_count":61,"area":null},{"id":"2309.14122","title":"SurrogatePrompt: Bypassing the Safety Filter of Text-to-Image Models via Substitution","created":"2023-09-25","cited_by_count":34,"area":null},{"id":"2208.04135","title":"Adversarial Attacks on Image Generation With Made-Up Words","created":"2022-08-04","cited_by_count":32,"area":null},{"id":"2210.12889","title":"DALL-E 2 Fails to Reliably Capture Common Syntactic Processes","created":"2022-10-23","cited_by_count":31,"area":null},{"id":"2308.00189","title":"Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?","created":"2023-07-31","cited_by_count":19,"area":null},{"id":"2311.07601","title":"Online Advertisements with LLMs: Opportunities and Challenges","created":"2023-11-11","cited_by_count":17,"area":null},{"id":"2208.04139","title":"DALLE-URBAN: Capturing the urban design expertise of large text to image transformers","created":"2022-08-03","cited_by_count":12,"area":null},{"id":"2405.11336","title":"UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers","created":"2024-05-18","cited_by_count":12,"area":null},{"id":"2307.04251","title":"ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey","created":"2023-07-09","cited_by_count":10,"area":null},{"id":"2507.05601","title":"Rethinking Layered Graphic Design Generation with a Top-Down Approach","created":"2025-07-08","cited_by_count":10,"area":null},{"id":"2404.05783","title":"A Survey on Responsible Generative AI: What to Generate and What Not","created":"2024-04-08","cited_by_count":8,"area":null},{"id":"2311.07064","title":"Prompts have evil twins","created":"2023-11-13","cited_by_count":7,"area":null},{"id":"2405.09426","title":"Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images","created":"2024-05-15","cited_by_count":7,"area":null},{"id":"2502.10760","title":"Why is prompting hard? Understanding prompts on binary sequence predictors","created":"2025-02-15","cited_by_count":4,"area":null},{"id":"2307.12507","title":"Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models","created":"2023-07-24","cited_by_count":3,"area":null},{"id":"2311.13620","title":"The Challenges of Image Generation Models in Generating Multi-Component Images","created":"2023-11-22","cited_by_count":3,"area":null},{"id":"2402.07562","title":"Discovering Universal Semantic Triggers for Text-to-Image Synthesis","created":"2024-02-12","cited_by_count":3,"area":null},{"id":"2404.05083","title":"DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models","created":"2024-04-07","cited_by_count":3,"area":null},{"id":"2406.03728","title":"Evaluating Durability: Benchmark Insights into Multimodal Watermarking","created":"2024-06-06","cited_by_count":3,"area":null},{"id":"2307.03798","title":"Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints","created":"2023-07-07","cited_by_count":2,"area":null},{"id":"2502.20130","title":"QPM: Discrete Optimization for Globally Interpretable Image Classification","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2501.02962","title":"SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2505.09166","title":"An Exploration of Default Images in Text-to-Image Generation","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2511.06947","title":"FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2607.05407","title":"Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety","created":"2026-06-09","cited_by_count":0,"area":null}],"next_cursor":null}