{"list":"other","total":70,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2203.02155","title":"Training language models to follow instructions with human feedback","created":"2022-03-04","cited_by_count":15971},{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234},{"id":"1412.6572","title":"Explaining and Harnessing Adversarial Examples","created":"2014-12-20","cited_by_count":7364},{"id":"2204.06125","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","created":"2022-04-13","cited_by_count":6585},{"id":"2302.05543","title":"Adding Conditional Control to Text-to-Image Diffusion Models","created":"2023-02-10","cited_by_count":5503},{"id":"2304.03442","title":"Generative Agents: Interactive Simulacra of Human Behavior","created":"2023-04-07","cited_by_count":3568},{"id":"2212.08073","title":"Constitutional AI: Harmlessness from AI Feedback","created":"2022-12-15","cited_by_count":3050},{"id":"1312.6034","title":"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps","created":"2013-12-20","cited_by_count":2371},{"id":"2202.03629","title":"Survey of Hallucination in Natural Language Generation","created":"2022-02-08","cited_by_count":2075},{"id":"2202.12837","title":"Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?","created":"2022-02-25","cited_by_count":1434},{"id":"1803.09010","title":"Datasheets for Datasets","created":"2018-03-23","cited_by_count":1386},{"id":"1711.11279","title":"Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)","created":"2017-11-30","cited_by_count":1319},{"id":"2104.08786","title":"Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity","created":"2021-04-18","cited_by_count":1135},{"id":"2007.04612","title":"Concept Bottleneck Models","created":"2020-07-09","cited_by_count":1032},{"id":"2212.09251","title":"Discovering Language Model Behaviors with Model-Written Evaluations","created":"2022-12-19","cited_by_count":836},{"id":"1912.02164","title":"Plug and Play Language Models: A Simple Approach to Controlled Text Generation","created":"2019-12-04","cited_by_count":799},{"id":"2303.17548","title":"Whose Opinions Do Language Models Reflect?","created":"2023-03-30","cited_by_count":773},{"id":"1806.10574","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition","created":"2018-06-27","cited_by_count":737},{"id":"2301.11305","title":"DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature","created":"2023-01-26","cited_by_count":726},{"id":"1801.07892","title":"Generative Image Inpainting with Contextual Attention","created":"2018-01-24","cited_by_count":580},{"id":"1610.07584","title":"Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling","created":"2016-10-24","cited_by_count":558},{"id":"2204.00598","title":"Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language","created":"2022-04-01","cited_by_count":513},{"id":"2304.13712","title":"Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond","created":"2023-04-26","cited_by_count":411},{"id":"2007.06600","title":"Closed-Form Factorization of Latent Semantics in GANs","created":"2020-07-13","cited_by_count":408},{"id":"2305.02463","title":"Shap-E: Generating Conditional 3D Implicit Functions","created":"2023-05-03","cited_by_count":385},{"id":"2303.15435","title":"The Stable Signature: Rooting Watermarks in Latent Diffusion Models","created":"2023-03-27","cited_by_count":304},{"id":"1703.03717","title":"Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations","created":"2017-03-10","cited_by_count":294},{"id":"2305.15717","title":"The False Promise of Imitating Proprietary LLMs","created":"2023-05-25","cited_by_count":263},{"id":"2210.04885","title":"What the DAAM: Interpreting Stable Diffusion Using Cross Attention","created":"2022-10-10","cited_by_count":236},{"id":"2305.10973","title":"Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold","created":"2023-05-18","cited_by_count":219},{"id":"2302.04222","title":"Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models","created":"2023-02-08","cited_by_count":205},{"id":"2010.10042","title":"Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation","created":"2020-10-20","cited_by_count":141},{"id":"2203.06566","title":"PromptChainer: Chaining Large Language Model Prompts through Visual Programming","created":"2022-03-13","cited_by_count":134},{"id":"2205.12674","title":"Training Language Models with Memory Augmentation","created":"2022-05-25","cited_by_count":113},{"id":"2005.00268","title":"Towards Controllable Biases in Language Generation","created":"2020-05-01","cited_by_count":112},{"id":"1902.02960","title":"Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making","created":"2019-02-08","cited_by_count":109},{"id":"2306.07899","title":"Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks","created":"2023-06-13","cited_by_count":103},{"id":"1906.00080","title":"Gmail Smart Compose: Real-Time Assisted Writing","created":"2019-05-17","cited_by_count":98},{"id":"2211.12737","title":"RoentGen: Vision-Language Foundation Model for Chest X-ray Generation","created":"2022-11-23","cited_by_count":89},{"id":"2304.07438","title":"Tractable Control for Autoregressive Language Generation","created":"2023-04-15","cited_by_count":65},{"id":"2008.02311","title":"Conceptual Metaphors Impact Perceptions of Human-AI Collaboration","created":"2020-08-05","cited_by_count":47},{"id":"2202.04903","title":"Investigating Explainability of Generative AI for Code through Scenario-based Design","created":"2022-02-10","cited_by_count":47},{"id":"1707.06742","title":"Machine Teaching: A New Paradigm for Building Machine Learning Systems","created":"2017-07-21","cited_by_count":41},{"id":"2205.14219","title":"Controllable Text Generation with Neurally-Decomposed Oracle","created":"2022-05-27","cited_by_count":41},{"id":"2207.07972","title":"Certified Neural Network Watermarks with Randomized Smoothing","created":"2022-07-16","cited_by_count":41},{"id":"2210.11603","title":"3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows","created":"2022-10-20","cited_by_count":41},{"id":"2306.01150","title":"Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning","created":"2023-06-01","cited_by_count":41},{"id":"2303.03199","title":"Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting","created":"2023-03-06","cited_by_count":36},{"id":"2205.12390","title":"Toxicity Detection with Generative Prompt-based Inference","created":"2022-05-24","cited_by_count":35},{"id":"2005.05632","title":"Detecting CNN-Generated Facial Images in Real-World Scenarios","created":"2020-05-12","cited_by_count":32},{"id":"2112.00718","title":"Improving GAN Equilibrium by Raising Spatial Awareness","created":"2021-12-01","cited_by_count":22},{"id":"2305.07465","title":"Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems","created":"2023-05-03","cited_by_count":20},{"id":"2304.01964","title":"PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models","created":"2023-04-04","cited_by_count":19},{"id":"2305.13014","title":"Can Large Language Models emulate an inductive Thematic Analysis of semi-structured interviews? An exploration and provocation on the limits of the approach and the model","created":"2023-05-22","cited_by_count":15},{"id":"2102.11008","title":"InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model","created":"2021-02-12","cited_by_count":14},{"id":"2103.02574","title":"House-GAN++: Generative Adversarial Layout Refinement Networks","created":"2021-03-03","cited_by_count":13},{"id":"2202.00965","title":"GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information","created":"2022-02-02","cited_by_count":13},{"id":"2302.07309","title":"Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System","created":"2023-02-14","cited_by_count":10},{"id":"2006.12683","title":"Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology","created":"2020-06-23","cited_by_count":9},{"id":"2205.05666","title":"Identifying concept libraries from language about object structure","created":"2022-05-11","cited_by_count":8},{"id":"2207.08320","title":"GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks","created":"2022-07-17","cited_by_count":7},{"id":"2208.01211","title":"Gesture-aware Interactive Machine Teaching with In-situ Object Annotations","created":"2022-08-02","cited_by_count":6},{"id":"2302.00079","title":"GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks","created":"2023-01-31","cited_by_count":5},{"id":"2303.07519","title":"Architext: Language-Driven Generative Architecture Design","created":"2023-03-13","cited_by_count":5},{"id":"2211.12492","title":"VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space","created":"2022-11-22","cited_by_count":4},{"id":"2305.18176","title":"Perceived Trustworthiness of Natural Language Generators","created":"2023-05-29","cited_by_count":4},{"id":"2303.16593","title":"Investigating the Design Considerations for Integrating Text-to-Image Generative AI within Augmented Reality Environments","created":"2023-03-29","cited_by_count":2},{"id":"2205.12554","title":"Are Akpans Trick or Treat: Unveiling Helpful Biases in Assistant Systems","created":"2022-05-25","cited_by_count":1}],"next_cursor":null}