Wanli Ouyang

Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation

2024 · arXiv (Cornell University)

Most existing weakly supervised semantic segmentation (WSSS) methods rely on Class Activation Mapping (CAM) to extract coarse class-specific localization maps using image-level labels. Prior works have commonly used an off-line heuristic thresholding process that combines …

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the processing of visual information, which cannot be successfully handled by existing …

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

2024

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng. Findings of the Association for Computational Linguistics: EMNLP 2024. 2024.

ROGRAG: A Robustly Optimized GraphRAG Framework

2025 · arXiv (Cornell University)

Large language models (LLMs) commonly struggle with specialized or emerging topics which are rarely seen in the training corpus. Graph-based retrieval-augmented generation (GraphRAG) addresses this by structuring domain knowledge as a graph for dynamic retrieval. …