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Rongxiang Zhang

2 accepted papers

2025

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework

EMNLP 2025

Recent advances in web-augmented large language models (LLMs) have exhibited strong performance in complex reasoning tasks, yet these capabilities are mostly locked in proprietary systems with opaque architectures. In this work, we propose ManuSearch , a transparent and modular multi-agent framework

2025

PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution

ICCV 2025poster

While diffusion models significantly improve the perceptual quality of super-resolved images, they usually require a large number of sampling steps, resulting in high computational costs and long inference times. Recent efforts have explored reasonable acceleration schemes by reducing the number of…