11 citations · 17 across the 11 of their papers we have counts for
11 papers
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
Xiao Long, Liansheng Zhuang, Chen Shen +3
Recently, large language models (LLMs) have demonstrated impressive performance in Knowledge Graph Question Answering (KGQA) tasks, which aim to find answers based on knowledge gra…
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
Xiao Long, Liansheng Zhuang, Aodi Li +2
Due to the remarkable reasoning ability, Large language models (LLMs) have demonstrated impressive performance in knowledge graph question answering (KGQA) tasks, which find answer…
SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation
Shang Chai, Zihang Lin, Min Zhou +3
Due to the demand for personalizing image generation, subject-driven text-to-image generation method, which creates novel renditions of an input subject based on text prompts, has…
Flatness Guided Test-Time Adaptation for Vision-Language Models
Aodi Li, Liansheng Zhuang, Xiao Long +2
Test-time adaptation (TTA) of Vision-Language Models (VLMs) has emerged as a technique for tackling distribution shifts during the test time. Recent research indicates that the tes…
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li, Liansheng Zhuang, Xiao Long +2
Domain generalization aims to learn a model from multiple training domains and generalize it to unseen test domains. Recent theory has shown that seeking the deep models, whose par…
LayoutDM: Transformer-based Diffusion Model for Layout Generation
Shang Chai, Liansheng Zhuang, Fengying Yan
Automatic layout generation that can synthesize high-quality layouts is an important tool for graphic design in many applications. Though existing methods based on generative model…