Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

no code implementations • 23 Feb 2024 • Yuzhe Zhang, YiPeng Zhang, Yidong Gan, Lina Yao, Chen Wang

We propose a novel method that utilizes the extensive knowledge contained within a large corpus of scientific literature to deduce causal relationships in general causal graph recovery tasks.

Causal Inference Retrieval

Jaeger: A Concatenation-Based Multi-Transformer VQA Model

no code implementations • 11 Oct 2023 • Jieting Long, Zewei Shi, Penghao Jiang, Yidong Gan

By leveraging pre-trained models for feature extraction, our approach has the potential to amplify the performance of these models through concatenation.

Dimensionality Reduction Question Answering +1