activity
20242026
most citedGroundingGPT:Language Enhanced Multi-modal Grounding Model

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Masked Generative Transformer Is What You Need for Image Editing

Wei Chow, Linfeng Li, Xian Sun +14

Diffusion models dominate image editing, yet their global denoising mechanism entangles edited regions with surrounding context, causing modifications to propagate into areas that…

cs.CV2025

EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing

Wei Chow, Linfeng Li, Lingdong Kong +13

Recent advances in diffusion models (DMs) have achieved exceptional visual quality in image editing tasks. However, the global denoising dynamics of DMs inherently conflate local e…

cs.CV2025

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query

Wei Chow, Yuan Gao, Linfeng Li +15

Semantic retrieval is crucial for modern applications yet remains underexplored in current research. Existing datasets are limited to single languages, single images, or singular r…

cs.CL2024

QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models

Wei Wang, Zhaowei Li, Qi Xu +7

The deployment of large language models (LLMs) faces considerable challenges concerning resource constraints and inference efficiency. Recent research has increasingly focused on s…

cs.CV2024★ 1 cited

GroundingGPT:Language Enhanced Multi-modal Grounding Model

Zhaowei Li, Qi Xu, Dong Zhang +9

Multi-modal large language models have demonstrated impressive performance across various tasks in different modalities. However, existing multi-modal models primarily emphasize ca…