Hanting Chen

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models

An Empirical Study of Extremely Low-Bit Quantization for Large Language Models

DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution

DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning

CBQ: Cross-Block Quantization for Large Language Models

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models

U-REPA: Aligning Diffusion U-Nets to ViTs

MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution

Multi-Granularity Semantic Revision for Large Language Model Distillation

One Step Diffusion-based Super-Resolution with Time-Aware Distillation

Weak-to-Strong Enhanced Vision Model