Zhixuan Chen

KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models

SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression

BiMoE：Pushing the Limit of Post-Training Quantization for MoE-based LLMs

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods

OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models