activity
20232026
most citedA Survey of Diffusion Based Image Generation Models: Issues and Their Solutions

9 citations · 15 across the 7 of their papers we have counts for

collaborators

8 papers

cs.IR2026

Prompt Generation Technical Report

Dan Ou, Gui Ling, Hao Wan +25

Generative retrieval has become an increasingly adopted paradigm for industrial search, recommendation, and advertising systems, delivering significant online gains. Most existing…

cs.LG2026

Caracal: Causal Architecture via Spectral Mixing

Bingzheng Gan, Tianyi Zhang, Yusu Li +4

The scalability of Large Language Models to long sequences is hindered by the quadratic cost of attention and the limitations of positional encodings. To address these, we introduc…

cs.CV2025

TrajSV: A Trajectory-based Model for Sports Video Representations and Applications

Zheng Wang, Shihao Xu, Wei Shi

Sports analytics has received significant attention from both academia and industry in recent years. Despite the growing interest and efforts in this field, several issues remain u…

cs.CV2024★ 4 cited

Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning

Shihao Xu, Yiyang Luo, Wei Shi

Geometry mathematics problems pose significant challenges for large language models (LLMs) because they involve visual elements and spatial reasoning. Current methods primarily rel…

cs.CL2024

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs

Zheng Wang, Zhongyang Li, Zeren Jiang +2

In the age of mobile internet, user data, often referred to as memories, is continuously generated on personal devices. Effectively managing and utilizing this data to deliver serv…

cs.CL2024★ 2 cited

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions

Zheng Wang, Shu Xian Teo, Jieer Ouyang +2

Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by retrieving relevant memories from an external database. However, existing RAG methods typically organi…

cs.IR2024

Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback

Zheng Wang, Bingzheng Gan, Wei Shi

In the rapidly evolving landscape of information retrieval, search engines strive to provide more personalized and relevant results to users. Query suggestion systems play a crucia…

cs.CV2023★ 9 cited

A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions

Tianyi Zhang, Zheng Wang, Jing Huang +2

Recently, there has been significant progress in the development of large models. Following the success of ChatGPT, numerous language models have been introduced, demonstrating rem…