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…This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API MMControl: Unified Multi-Modal…
…The key technique behind MiniCPM-o 4.5 is Omni-Flow, a unified streaming framework that aligns omni-modal inputs and outputs along a shared temporal axis. This is an automated message…
…real-time interactive multi-shot video creation by unifying generation, reference conditioning, and editing with fixed-budget sparse context routing. This is an automated message from the Librarian Bot . I found the…
…EMMA leverages a Liquid Time-Constant (LTC) network to learn latent dynamics from heterogeneous modalities while a physics-constrained loss enforces consistency with the governing differential equations . A unified feature pipeline enables…
…However, existing open-source methods mainly rely on either dual-tower designs with posterior alignment or fully unified tri-modal designs that mix textual context, audio and video in one shared space…
…Tokenization with Robust Dual Capabilities of Speech Generation and Understanding (2026) SemaVoice: Semantic-Aware Continuous Autoregressive Speech Synthesis (2026) Light-weight Pronunciation Assessment via Discrete Speech Token Surprisal (2026) UniSAE: Unified Speech…
…Since the two experts share no parameters and interact only through a unified attention interface, the video backbone could be replaced and the action expert scaled independently without modifying the learning objective…
…We then propose TabEmbed, the first generalist embedding model that unifies tabular classification and retrieval within a shared embedding space . By reformulating diverse tabular tasks as semantic matching problems , TabEmbed leverages large…
…By consolidating three separate networks into one unified transformer, introducing dynamic state prediction with dropout, and improving pose learning through autoregressive training, RayDer's performance scales predictably with data, model size, and…
…Rui Cai , , Xiaofei Wen , , , , , Abstract ModelLens is a unified framework that recommends models in real-world scenarios by learning from public leaderboard data to rank unseen models on unseen datasets without requiring…