{"list":"other","total":55,"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":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"2011.13456","title":"Score-Based Generative Modeling through Stochastic Differential Equations","created":"2020-11-26","cited_by_count":9122},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1907.05600","title":"Generative Modeling by Estimating Gradients of the Data Distribution","created":"2019-07-12","cited_by_count":4101},{"id":"1312.6114","title":"Auto-Encoding Variational Bayes","created":"2013-12-20","cited_by_count":4053},{"id":"2210.11416","title":"Scaling Instruction-Finetuned Language Models","created":"2022-10-20","cited_by_count":3024},{"id":"1411.1784","title":"Conditional Generative Adversarial Nets","created":"2014-11-06","cited_by_count":2162},{"id":"1511.06434","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","created":"2015-11-19","cited_by_count":2054},{"id":"2205.13504","title":"Are Transformers Effective for Time Series Forecasting?","created":"2022-05-26","cited_by_count":1424},{"id":"2009.09761","title":"DiffWave: A Versatile Diffusion Model for Audio Synthesis","created":"2020-09-21","cited_by_count":1354},{"id":"2106.15282","title":"Cascaded Diffusion Models for High Fidelity Image Generation","created":"2021-05-30","cited_by_count":1163},{"id":"2006.09011","title":"Improved Techniques for Training Score-Based Generative Models","created":"2020-06-16","cited_by_count":1043},{"id":"1605.05396","title":"Generative Adversarial Text to Image Synthesis","created":"2016-05-17","cited_by_count":735},{"id":"1803.08475","title":"Attention, Learn to Solve Routing Problems!","created":"2018-03-22","cited_by_count":656},{"id":"2307.06435","title":"A Comprehensive Overview of Large Language Models","created":"2023-07-12","cited_by_count":648},{"id":"2009.00713","title":"WaveGrad: Estimating Gradients for Waveform Generation","created":"2020-09-02","cited_by_count":622},{"id":"1704.01665","title":"Learning Combinatorial Optimization Algorithms over Graphs","created":"2017-04-05","cited_by_count":561},{"id":"2202.07125","title":"Transformers in Time Series: A Survey","created":"2022-02-15","cited_by_count":497},{"id":"2105.06337","title":"Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech","created":"2021-05-13","cited_by_count":447},{"id":"1905.07088","title":"Sliced Score Matching: A Scalable Approach to Density and Score Estimation","created":"2019-05-17","cited_by_count":384},{"id":"2212.09741","title":"One Embedder, Any Task: Instruction-Finetuned Text Embeddings","created":"2022-12-19","cited_by_count":333},{"id":"1701.00160","title":"NIPS 2016 Tutorial: Generative Adversarial Networks","created":"2016-12-31","cited_by_count":285},{"id":"2101.03288","title":"How to Train Your Energy-Based Models","created":"2021-01-09","cited_by_count":274},{"id":"1906.01227","title":"An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem","created":"2019-06-04","cited_by_count":269},{"id":"2303.14524","title":"Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System","created":"2023-03-25","cited_by_count":242},{"id":"2002.09291","title":"Transformer Hawkes Process","created":"2020-02-21","cited_by_count":235},{"id":"2304.10149","title":"Is ChatGPT a Good Recommender? A Preliminary Study","created":"2023-04-20","cited_by_count":193},{"id":"1906.02569","title":"Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild","created":"2019-06-06","cited_by_count":178},{"id":"2305.07001","title":"Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach","created":"2023-05-11","cited_by_count":168},{"id":"2205.08084","title":"M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems","created":"2022-05-17","cited_by_count":152},{"id":"1609.03126","title":"Energy-based Generative Adversarial Network","created":"2016-09-11","cited_by_count":119},{"id":"2104.03528","title":"Neural Temporal Point Processes: A Review","created":"2021-04-08","cited_by_count":114},{"id":"2305.06569","title":"How to Index Item IDs for Recommendation Foundation Models","created":"2023-05-11","cited_by_count":102},{"id":"1605.02226","title":"Neural Autoregressive Distribution Estimation","created":"2016-05-07","cited_by_count":95},{"id":"2309.01157","title":"Large Language Models for Generative Recommendation: A Survey and Visionary Discussions","created":"2023-09-03","cited_by_count":73},{"id":"2305.07961","title":"Leveraging Large Language Models in Conversational Recommender Systems","created":"2023-05-13","cited_by_count":63},{"id":"2103.03012","title":"The Transformer Network for the Traveling Salesman Problem","created":"2021-03-04","cited_by_count":59},{"id":"2208.01874","title":"Exploring Generative Neural Temporal Point Process","created":"2022-08-03","cited_by_count":30},{"id":"2308.12241","title":"LLMRec: Benchmarking Large Language Models on Recommendation Task","created":"2023-08-23","cited_by_count":30},{"id":"1910.07210","title":"On Learning Paradigms for the Travelling Salesman Problem","created":"2019-10-16","cited_by_count":24},{"id":"2210.03137","title":"Deep Inventory Management","created":"2022-10-06","cited_by_count":23},{"id":"2306.11114","title":"Generative Sequential Recommendation with GPTRec","created":"2023-06-19","cited_by_count":21},{"id":"2306.11134","title":"OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems","created":"2023-06-19","cited_by_count":19},{"id":"2205.02453","title":"Learning to Solve Vehicle Routing Problems: A Survey","created":"2022-05-05","cited_by_count":16},{"id":"2210.15500","title":"COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation","created":"2022-10-14","cited_by_count":6},{"id":"1904.05037","title":"Survey of ETA prediction methods in public transport networks","created":"2019-04-10","cited_by_count":5},{"id":"2310.17168","title":"Learning an Inventory Control Policy with General Inventory Arrival Dynamics","created":"2023-10-26","cited_by_count":5},{"id":"2205.04001","title":"Learning from Drivers to Tackle the Amazon Last Mile Routing Research Challenge","created":"2022-05-09","cited_by_count":4},{"id":"2212.10399","title":"A deep learning Attention model to solve the Vehicle Routing Problem and the Pick-up and Delivery Problem with Time Windows","created":"2022-12-20","cited_by_count":4},{"id":"2310.19159","title":"Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System","created":"2023-10-29","cited_by_count":3},{"id":"2310.07979","title":"Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks","created":"2023-10-12","cited_by_count":2}],"next_cursor":null}