…Xuanyu Zhu , , Yang Shi , , , , Abstract DRoRAE enhances visual representation by fusing multi-layer features from pretrained vision encoders through adaptive routing and incremental correction, improving reconstruction and generation quality. AI-generated summary…
…Specifically, during training, we make the model acts as both the teacher and the student with different contexts, where the student is conditioned only on the text feature , while the teacher is…
…providing voxel features as vertex representations, guiding token prediction via cross-attention to voxel features, and serving as a structural scaffold that constrains generation around the input surface. Our hierarchical design enables…
…To support this paradigm, we curate and release GEM-4M , a comprehensive large-scale dataset featuring a mixture of grounding, reasoning, and planning data paired with high-quality depth supervision. Extensive experiments…
…By systematically decorrelating provability from spurious features and enforcing algorithmic alignment , we find that in sufficiently deep models with a bidirectional prefix mask , implicit reasoning approaches explicit CoT performance across graph topologies…
…We adopt the E4SRec framework by extending it with multimodal features and different item ID encoder backbones , including SASRec , BERT4Rec , and GRU4Rec . We further extend the LLM backbone option with LLaMa-2…
…Systematic Benchmarking and Improving Omnimodal Personalization Published on May 11 Submitted by Yeongtak on May 12 Seoul National University Authors: , , , , Abstract Omni-Persona introduces the first comprehensive benchmark for omnimodal personalization, featuring…
…Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment (2026) Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion (2026) Toward Physically Consistent Driving Video World Models under…
…Visual Feature Conditioning for Diffusion-Based Super-Resolution (2026) Novel View Synthesis as Video Completion (2026) BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training (2026) Please give a thumbs up to…
…Membership Inference via Gradient-Induced Feature Drift in LLMs (2026) Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models (2026) Entropy-KL Divergence-based…