activity
20242026
most citedDiffLM: Controllable Synthetic Data Generation via Diffusion Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Referring Layer Decomposition

Fangyi Chen, Yaojie Shen, Lu Xu +4

Precise, object-aware control over visual content is essential for advanced image editing and compositional generation. Yet, most existing approaches operate on entire images holis…

cs.CV2025

EchoFoley: Event-Centric Hierarchical Control for Video Grounded Creative Sound Generation

Bingxuan Li, Yiming Cui, Yicheng He +4

Sound effects build an essential layer of multimodal storytelling, shaping the emotional atmosphere and the narrative semantics of videos. Despite recent advancement in video-text-…

cs.CV2025

Where do Large Vision-Language Models Look at when Answering Questions?

Xiaoying Xing, Chia-Wen Kuo, Li Fuxin +6

Large Vision-Language Models (LVLMs) have shown promising performance in vision-language understanding and reasoning tasks. However, their visual understanding behaviors remain und…

cs.LG2024★ 1 cited

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models

Ying Zhou, Xinyao Wang, Yulei Niu +6

Recent advancements in large language models (LLMs) have significantly enhanced their knowledge and generative capabilities, leading to a surge of interest in leveraging LLMs for h…

cs.CL2024

AIPO: Improving Training Objective for Iterative Preference Optimization

Yaojie Shen, Xinyao Wang, Yulei Niu +5

Preference Optimization (PO), is gaining popularity as an alternative choice of Proximal Policy Optimization (PPO) for aligning Large Language Models (LLMs). Recent research on ali…