Recently the state space models (SSMs) with efficient hardware-aware designs, i.e., the Mamba deep learning model, have shown great potential for long sequence modeling. Meanwhile building efficient ...

“For the hashtag explorer, we wanted to let readers dig into their own TikTok niche. The ‘opposite’ hashtags, or ones that are most negatively correlated with your selected one, are also a fun way to ...

To address the degradation of visual-language (VL) representations during VLA supervised fine-tuning (SFT), we introduce Visual Representation Alignment. During SFT, we pull a VLA’s visual tokens ...

According to @berkeley_ai, researchers from Trevor Darrell's lab at Berkeley AI Research received an Outstanding Paper Award at COLM 2025 in Montreal for the paper Hidden in plain sight: VLMs overlook ...

A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Columbia ...

Visual elements profoundly impact player engagement and emotional responses during gaming sessions. Graphics quality, animations, and special effects create immediate impressions that can determine ...

Visual generation frameworks follow a two-stage approach: first compressing visual signals into latent representations and then modeling the low-dimensional distributions. However, conventional ...

Abstract: Safe reinforcement learning aims to ensure the optimal performance while minimizing potential risks. In real-world applications, especially in scenarios that rely on visual inputs, a key ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. The manuscript uses large-scale existing datasets that span ...

Abstract: The open-loop grasp planner, which relies on vision, is prone to failure caused by calibration errors, visual occlusions, and other factors. Additionally, it cannot adapt the grasp pose and ...