2 citations · 4 across the 6 of their papers we have counts for
6 papers
MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models
Mingrui Wu, Hang Liu, Jiayi Ji +2
Recent advancements in Unified Multimodal Models (UMMs) have enabled remarkable image understanding and generation capabilities. However, while models like Gemini-2.5-Flash-Image s…
DEAL-300K: Diffusion-based Editing Area Localization with a 300K-Scale Dataset and Frequency-Prompted Baseline
Rui Zhang, Hongxia Wang, Hangqing Liu +2
Diffusion-based image editing has made semantic level image manipulation easy for general users, but it also enables realistic local forgeries that are hard to localize. Existing b…
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
Han Liu, Bingning Wang, Ting Yao +3
Large-scale pre-trained language models have achieved great success on natural language generation tasks. However, it is difficult to control the pre-trained language models to gen…
Large-Scale Multi-Document Summarization with Information Extraction and Compression
Ning Wang, Han Liu, Diego Klabjan
We develop an abstractive summarization framework independent of labeled data for multiple heterogeneous documents. Unlike existing multi-document summarization methods, our framew…
Converse, Focus and Guess -- Towards Multi-Document Driven Dialogue
Han Liu, Caixia Yuan, Xiaojie Wang +3
We propose a novel task, Multi-Document Driven Dialogue (MD3), in which an agent can guess the target document that the user is interested in by leading a dialogue. To benchmark pr…
Label-Wise Document Pre-Training for Multi-Label Text Classification
Han Liu, Caixia Yuan, Xiaojie Wang
A major challenge of multi-label text classification (MLTC) is to stimulatingly exploit possible label differences and label correlations. In this paper, we tackle this challenge b…