{"total":16,"rows":[{"id":"2411.19722","title":"JetFormer: An Autoregressive Generative Model of Raw Images and Text","created":"2024-11-29","cited_by_count":46,"area":"mllm"},{"id":"2406.14294","title":"DASB - Discrete Audio and Speech Benchmark","created":"2024-06-20","cited_by_count":32,"area":"mllm"},{"id":"2505.14682","title":"UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation","created":"2025-05-20","cited_by_count":32,"area":"mllm"},{"id":"2509.16197","title":"MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer","created":"2025-09-19","cited_by_count":15,"area":"mllm"},{"id":"2412.06774","title":"Visual Lexicon: Rich Image Features in Language Space","created":"2024-12-09","cited_by_count":12,"area":"mllm"},{"id":"2507.22920","title":"Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey","created":"2025-07-21","cited_by_count":8,"area":"mllm"},{"id":"2508.09857","title":"OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better","created":"2025-08-13","cited_by_count":3,"area":"mllm"},{"id":"2604.03191","title":"The Compression Gap: Why Discrete Tokenization Limits Vision-Language-Action Model Scaling","created":"2026-04-03","cited_by_count":3,"area":"mllm"},{"id":"2503.18407","title":"VTD-CLIP: Video-to-Text Discretization via Prompting CLIP","created":"2025-03-24","cited_by_count":2,"area":"mllm"},{"id":"2512.15701","title":"VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression","created":"2025-12-17","cited_by_count":1,"area":"mllm"},{"id":"2605.29655","title":"SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape Generation","created":"2026-05-28","cited_by_count":1,"area":"mllm"},{"id":"2606.11188","title":"ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations","created":"2026-06-09","cited_by_count":1,"area":"mllm"},{"id":"2609.38597","title":"PixelUMM: Encoder-Free Unified Image and Video Understanding and Generation","created":"2026-09-29","cited_by_count":1,"area":"mllm"},{"id":"2509.02349","title":"AudioCodecBench: A Comprehensive Benchmark for Audio Codec Evaluation","created":"2025-09-02","cited_by_count":0,"area":"mllm"},{"id":"2608.20382","title":"Decoupled Vision-Language System for Multimodal Understanding and Generation","created":"2026-06-29","cited_by_count":0,"area":"mllm"},{"id":"2609.29048","title":"Where Hallucinations Live: A Cross-Architecture Circuit in VQ-Tokenized Vision-Language Models","created":"2026-09-24","cited_by_count":0,"area":"mllm"}],"next_cursor":null}