5 papers
Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
Yu Qi, Haibo Zhao, Ziyu Guo +17
Understanding the capability bottlenecks of embodied multimodal large language models (MLLMs) is crucial for improving embodied agents. However, existing embodied benchmarks mainly…
Magnetic electron-hole asymmetry in cuprates: a computational revisit
Jiong Mei, Shao-Hang Shi, Ping Xu +5
In this work, we revisit the electron-hole asymmetry of antiferromagnetism in cuprates by studying the three-band Emery model. Using parameters relevant to LaCuO, we benchm…
SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution
Liangbin Xie, Yu Li, Shian Du +7
Latent diffusion models have emerged as a leading paradigm for efficient video generation. However, as user expectations shift toward higher-resolution outputs, relying solely on l…
Unveiling the landscape of Mottness and its proximity to superconductivity in 4Hb-TaS
Ping Wu, Zhuying Wang, Yunmei Zhang +15
Mott physics is at the root of a plethora of many-body quantum phenomena in quantum materials. Recently, the stacked or twisted structures of van der Waals (vdW) materials have eme…
TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting
Liangbin Xie, Daniil Pakhomov, Zhonghao Wang +8
This paper introduces TurboFill, a fast image inpainting model that enhances a few-step text-to-image diffusion model with an inpainting adapter for high-quality and efficient inpa…