Is Finer Better? The Limits of Microscaling Formats in Large Language Models
- Andrea Fasoli
- Monodeep Kar
- et al.
- 2026
- ICLR 2026
Conference paper
Publications
38 results for Naigang Wang
Advancing Fluorescence Light Detection and Ranging in Scattering Media with a Physics-Guided Mixture-of-Experts and Evidential Critics
- Ismail Erbas
- Ferhat Demikiran
- et al.
- 2025
- NeurIPS 2025
Workshop paperAccelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System
- Yunhua Fang
- Rui Xie
- et al.
- 2025
- IEEE Computer Architecture Letters
PaperCLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
- Yanxia Deng
- Aozhong Zhang
- et al.
- 2025
- TMLR
PaperCompressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
- Wei Liu
- Anweshit Panda
- et al.
- 2025
- TMLR
PaperCOMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
- Aozhong Zhang
- Zi Yang
- et al.
- 2025
- IEEE Access
PaperGenerative AI Through CAS Lens: An Integrated Overview of Algorithmic Optimizations, Architectural Advances, and Automated Designs
- Chuan Zhang
- You You
- et al.
- 2025
- IEEE JESTCS
PaperCompressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging
- Ismail Erbas
- Vikas Pandey
- et al.
- 2024
- NeurIPS 2024
Workshop paperA Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
- Mohammed Nowaz Rabbani Chowdhury
- Meng Wang
- et al.
- 2024
- ICML 2024
Conference paperImproved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths
- Ximeng Sun
- Rameswar Panda
- et al.
- 2024
- WACV 2024
Conference paper