Search Results for author: Weijing Chen

Found 4 papers, 4 papers with code

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

1 code implementation16 Oct 2023 Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang

FATE-LLM (1) facilitates federated learning for large language models (coined FedLLM); (2) promotes efficient training of FedLLM using parameter-efficient fine-tuning methods; (3) protects the intellectual property of LLMs; (4) preserves data privacy during training and inference through privacy-preserving mechanisms.

Federated Learning Privacy Preserving

Rethinking Benchmarks for Cross-modal Image-text Retrieval

1 code implementation21 Apr 2023 Weijing Chen, Linli Yao, Qin Jin

The reason is that a large amount of images and texts in the benchmarks are coarse-grained.

Cross-Modal Retrieval Image-to-Text Retrieval +3

CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge

1 code implementation17 Nov 2022 Linli Yao, Weijing Chen, Qin Jin

Automatically generating textual descriptions for massive unlabeled images on the web can greatly benefit realistic web applications, e. g. multimodal retrieval and recommendation.

Concept Alignment Retrieval

Cannot find the paper you are looking for? You can Submit a new open access paper.