{"total":94,"rows":[{"id":"2405.09818","title":"Chameleon: Mixed-Modal Early-Fusion Foundation Models","created":"2024-05-16","cited_by_count":927,"area":null},{"id":"2204.05999","title":"InCoder: A Generative Model for Code Infilling and Synthesis","created":"2022-04-12","cited_by_count":498,"area":null},{"id":"2211.11501","title":"DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation","created":"2022-11-18","cited_by_count":452,"area":null},{"id":"2309.15505","title":"Finite Scalar Quantization: VQ-VAE Made Simple","created":"2023-09-27","cited_by_count":440,"area":null},{"id":"2307.15189","title":"Med-Flamingo: a Multimodal Medical Few-shot Learner","created":"2023-07-27","cited_by_count":392,"area":null},{"id":"2207.10397","title":"CodeT: Code Generation with Generated Tests","created":"2022-07-21","cited_by_count":384,"area":null},{"id":"2210.03347","title":"Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding","created":"2022-10-07","cited_by_count":366,"area":null},{"id":"2309.15807","title":"Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack","created":"2023-09-27","cited_by_count":279,"area":null},{"id":"2207.14255","title":"Efficient Training of Language Models to Fill in the Middle","created":"2022-07-28","cited_by_count":255,"area":null},{"id":"2311.10709","title":"Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning","created":"2023-11-17","cited_by_count":255,"area":null},{"id":"2205.10770","title":"Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models","created":"2022-05-22","cited_by_count":220,"area":null},{"id":"2304.06939","title":"Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text","created":"2023-04-14","cited_by_count":208,"area":null},{"id":"2412.14164","title":"MetaMorph: Multimodal Understanding and Generation via Instruction Tuning","created":"2024-12-18","cited_by_count":206,"area":null},{"id":"2302.12766","title":"Language-Driven Representation Learning for Robotics","created":"2023-02-24","cited_by_count":165,"area":null},{"id":"2411.04996","title":"Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models","created":"2024-11-07","cited_by_count":163,"area":null},{"id":"2305.11854","title":"Multimodal Web Navigation with Instruction-Finetuned Foundation Models","created":"2023-05-19","cited_by_count":160,"area":null},{"id":"2204.06031","title":"A Review on Language Models as Knowledge Bases","created":"2022-04-12","cited_by_count":157,"area":null},{"id":"2208.08227","title":"MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation","created":"2022-08-17","cited_by_count":136,"area":null},{"id":"2301.03728","title":"Scaling Laws for Generative Mixed-Modal Language Models","created":"2023-01-10","cited_by_count":134,"area":null},{"id":"2301.13823","title":"Grounding Language Models to Images for Multimodal Inputs and Outputs","created":"2023-01-31","cited_by_count":131,"area":null},{"id":"2312.06647","title":"4M: Massively Multimodal Masked Modeling","created":"2023-12-11","cited_by_count":120,"area":null},{"id":"2403.16973","title":"VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild","created":"2024-03-25","cited_by_count":120,"area":null},{"id":"2407.13623","title":"Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies","created":"2024-07-18","cited_by_count":118,"area":null},{"id":"2303.10868","title":"Retrieving Multimodal Information for Augmented Generation: A Survey","created":"2023-03-20","cited_by_count":85,"area":null},{"id":"2312.02116","title":"GIVT: Generative Infinite-Vocabulary Transformers","created":"2023-12-04","cited_by_count":80,"area":null},{"id":"2401.10208","title":"MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer","created":"2024-01-18","cited_by_count":80,"area":null},{"id":"2304.14400","title":"IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers","created":"2023-04-27","cited_by_count":75,"area":null},{"id":"2303.09166","title":"Identifiability Results for Multimodal Contrastive Learning","created":"2023-03-16","cited_by_count":61,"area":null},{"id":"2304.14933","title":"An Empirical Study of Multimodal Model Merging","created":"2023-04-28","cited_by_count":52,"area":null},{"id":"2406.09406","title":"4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities","created":"2024-06-13","cited_by_count":52,"area":null},{"id":"2504.07951","title":"Scaling Laws for Native Multimodal Models","created":"2025-04-10","cited_by_count":50,"area":null},{"id":"2212.11261","title":"Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias","created":"2022-12-21","cited_by_count":43,"area":null},{"id":"2311.16974","title":"COLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic Design","created":"2023-11-28","cited_by_count":43,"area":null},{"id":"2207.07036","title":"u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality","created":"2022-07-14","cited_by_count":39,"area":null},{"id":"2402.01763","title":"When Large Language Models Meet Vector Databases: A Survey","created":"2024-01-30","cited_by_count":39,"area":null},{"id":"2402.16197","title":"Language Models for Code Completion: A Practical Evaluation","created":"2024-02-25","cited_by_count":39,"area":null},{"id":"2404.01266","title":"IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations","created":"2024-04-01","cited_by_count":38,"area":null},{"id":"2306.08620","title":"Anticipatory Music Transformer","created":"2023-06-14","cited_by_count":36,"area":null},{"id":"2309.15564","title":"Jointly Training Large Autoregressive Multimodal Models","created":"2023-09-27","cited_by_count":32,"area":null},{"id":"2304.09179","title":"Pretrained Language Models as Visual Planners for Human Assistance","created":"2023-04-17","cited_by_count":28,"area":null},{"id":"2308.16463","title":"Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models","created":"2023-08-31","cited_by_count":28,"area":null},{"id":"2312.11523","title":"ToViLaG: Your Visual-Language Generative Model is Also An Evildoer","created":"2023-12-13","cited_by_count":27,"area":null},{"id":"2410.24159","title":"GPT or BERT: why not both?","created":"2024-10-31","cited_by_count":27,"area":null},{"id":"2211.10869","title":"UniMASK: Unified Inference in Sequential Decision Problems","created":"2022-11-20","cited_by_count":24,"area":null},{"id":"2210.02884","title":"Vision+X: A Survey on Multimodal Learning in the Light of Data","created":"2022-10-05","cited_by_count":22,"area":null},{"id":"2303.07295","title":"Meet in the Middle: A New Pre-training Paradigm","created":"2023-03-13","cited_by_count":22,"area":null},{"id":"2302.07730","title":"Transformer models: an introduction and catalog","created":"2023-02-12","cited_by_count":21,"area":null},{"id":"2302.09170","title":"KILM: Knowledge Injection into Encoder-Decoder Language Models","created":"2023-02-17","cited_by_count":19,"area":null},{"id":"2311.15941","title":"Tell2Design: A Dataset for Language-Guided Floor Plan Generation","created":"2023-11-27","cited_by_count":19,"area":null},{"id":"2211.16349","title":"BARTSmiles: Generative Masked Language Models for Molecular Representations","created":"2022-11-29","cited_by_count":18,"area":null},{"id":"2305.03668","title":"A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding","created":"2023-05-05","cited_by_count":18,"area":null},{"id":"2504.17789","title":"Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models","created":"2025-04-24","cited_by_count":18,"area":null},{"id":"2307.16686","title":"Guiding Image Captioning Models Toward More Specific Captions","created":"2023-07-31","cited_by_count":17,"area":null},{"id":"2401.03321","title":"PIXAR: Auto-Regressive Language Modeling in Pixel Space","created":"2024-01-06","cited_by_count":16,"area":null},{"id":"2409.19051","title":"Multimodal Markup Document Models for Graphic Design Completion","created":"2024-09-27","cited_by_count":16,"area":null},{"id":"2205.11726","title":"On the Role of Bidirectionality in Language Model Pre-Training","created":"2022-05-24","cited_by_count":15,"area":null},{"id":"2311.05698","title":"Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities","created":"2023-11-09","cited_by_count":15,"area":null},{"id":"2303.12208","title":"MAGVLT: Masked Generative Vision-and-Language Transformer","created":"2023-03-21","cited_by_count":14,"area":null},{"id":"2403.12922","title":"Contextual AD Narration with Interleaved Multimodal Sequence","created":"2024-03-19","cited_by_count":14,"area":null},{"id":"2310.09930","title":"FiLM: Fill-in Language Models for Any-Order Generation","created":"2023-10-15","cited_by_count":13,"area":null},{"id":"2406.04823","title":"BERTs are Generative In-Context Learners","created":"2024-06-07","cited_by_count":12,"area":null},{"id":"2409.06029","title":"SongCreator: Lyrics-based Universal Song Generation","created":"2024-09-09","cited_by_count":12,"area":null},{"id":"2305.18584","title":"Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing","created":"2023-05-29","cited_by_count":9,"area":null},{"id":"2304.12269","title":"Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study","created":"2023-04-24","cited_by_count":8,"area":null},{"id":"2310.03734","title":"Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency","created":"2023-10-05","cited_by_count":8,"area":null},{"id":"2312.04552","title":"Generating Illustrated Instructions","created":"2023-12-07","cited_by_count":7,"area":null},{"id":"2403.15185","title":"Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study","created":"2024-03-22","cited_by_count":7,"area":null},{"id":"2312.14385","title":"Generative AI Beyond LLMs: System Implications of Multi-Modal Generation","created":"2023-12-22","cited_by_count":6,"area":null},{"id":"2303.07519","title":"Architext: Language-Driven Generative Architecture Design","created":"2023-03-13","cited_by_count":5,"area":null},{"id":"2306.04803","title":"Privately generating tabular data using language models","created":"2023-06-07","cited_by_count":5,"area":null},{"id":"2405.17103","title":"Empowering Character-level Text Infilling by Eliminating Sub-Tokens","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2501.08648","title":"MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities","created":"2025-01-15","cited_by_count":5,"area":null},{"id":"2503.03651","title":"DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2506.10395","title":"Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation","created":"2025-06-12","cited_by_count":5,"area":null},{"id":"2507.09834","title":"Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction","created":"2025-07-14","cited_by_count":5,"area":null},{"id":"2302.12441","title":"MUX-PLMs: Data Multiplexing for High-throughput Language Models","created":"2023-02-24","cited_by_count":4,"area":null},{"id":"2305.14243","title":"Training Transitive and Commutative Multimodal Transformers with LoReTTa","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2308.13354","title":"On the Impact of Language Selection for Training and Evaluating Programming Language Models","created":"2023-08-25","cited_by_count":4,"area":null},{"id":"2503.11806","title":"Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2210.13432","title":"Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models","created":"2022-10-24","cited_by_count":3,"area":null},{"id":"2311.17972","title":"Self-Infilling Code Generation","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2401.07994","title":"Assessing the Latent Automated Program Repair Capabilities of Large Language Models using Round-Trip Translation","created":"2024-01-15","cited_by_count":3,"area":null},{"id":"2406.05496","title":"Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities","created":"2024-06-08","cited_by_count":3,"area":null},{"id":"2507.21117","title":"A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges","created":"2025-07-17","cited_by_count":3,"area":null},{"id":"2608.05000","title":"Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes","created":"2026-08-05","cited_by_count":3,"area":null},{"id":"2305.12027","title":"Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2306.03067","title":"Interactive Editing for Text Summarization","created":"2023-06-05","cited_by_count":2,"area":null},{"id":"2405.18304","title":"Multi-modal Generation via Cross-Modal In-Context Learning","created":"2024-05-28","cited_by_count":2,"area":null},{"id":"2212.10504","title":"Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?","created":"2022-12-20","cited_by_count":1,"area":null},{"id":"2303.16452","title":"ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language Models","created":"2023-03-29","cited_by_count":1,"area":null},{"id":"2310.11392","title":"Towards Automatic Satellite Images Captions Generation Using Large Language Models","created":"2023-10-17","cited_by_count":1,"area":null},{"id":"2507.01335","title":"LEDOM: Reverse Language Model","created":"2025-07-02","cited_by_count":1,"area":null},{"id":"2508.15860","title":"Robust Residual Finite Scalar Quantization for Neural Compression","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2603.23521","title":"Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages","created":"2026-03-06","cited_by_count":0,"area":null}],"next_cursor":null}