{"total":12,"rows":[{"id":"2412.09604","title":"SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding","created":"2024-12-12","cited_by_count":42,"area":null},{"id":"2310.18481","title":"MOSEL: Inference Serving Using Dynamic Modality Selection","created":"2023-10-27","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":"2305.14706","title":"PruMUX: Augmenting Data Multiplexing with Model Compression","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2310.15724","title":"Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules","created":"2023-10-24","cited_by_count":1,"area":null},{"id":"2410.04519","title":"RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2308.11199","title":"ConcatPlexer: Additional Dim1 Batching for Faster ViTs","created":"2023-08-22","cited_by_count":0,"area":null},{"id":"2402.06580","title":"SAE: Single Architecture Ensemble Neural Networks","created":"2024-02-09","cited_by_count":0,"area":null},{"id":"2508.11090","title":"Compressive Meta-Learning","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2511.13779","title":"Semantic Multiplexing","created":"2025-11-16","cited_by_count":0,"area":null},{"id":"2609.01158","title":"Superposed Latent Autoencoder","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.32320","title":"Superposed Inference for Hyperdimensional Computing","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}