6 papers
Loopy: Low-Bit Quantization Framework for Looped Language Models
Zeyu Li, Zeyu LI, Yipu ZHANG +7
Looped language models provide a parameter-efficient way to scale iterative test-time computation by repeatedly executing a shared recurrent core. Post-training quantization (PTQ)…
CMD: An Integrated CGRA Framework with Cluster-Based Distributed Memory Design
Shangkun Li, Cheng Tan, Zeyu Li +6
Coarse-Grained Reconfigurable Arrays (CGRAs) are a promising solution for achieving high energy efficiency and reconfigurability across various application domains, but their perfo…
Not All Attention Heads Contribute to Critical Visual Token Selection: Head-Aware Pruning Matters More
Chaofang Ma, Lin Jiang, Carol Jingyi Li +4
Vision-Language Models (VLMs) have exhibited impressive performance across diverse visual scenarios. However, this success comes at the cost of explosive growth in visual tokens, w…
PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation
Xiaohan Jiang, Zeyu Li, Wei Zhang +1
The rapid development of photonic integrated circuits (PICs) is shifting the design flow from traditional graphical user interface (GUI)-based methods to script-based methods for h…
NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures
Shangkun Li, Jinming Ge, Diyuan Tao +6
Coarse-Grained Reconfigurable Architectures (CGRAs) are a promising and versatile accelerator platform, offering a balance between the performance and efficiency of specialized acc…
VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization
Yipu Zhang, Jintao Cheng, Xingyu Liu +8
3D reconstruction and view synthesis are fundamental to AR/VR, robotics, and digital twins. The Visual Geometry Grounded Transformer (VGGT) enables strong feed-forward 3D reconstru…