3 papers
cs.CL2024
Enhancing Retrieval in QA Systems with Derived Feature Association
Keyush Shah, Abhishek Goyal, Isaac Wasserman
Retrieval augmented generation (RAG) has become the standard in long context question answering (QA) systems. However, typical implementations of RAG rely on a rather naive retriev…
cs.CV2023
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts
Isaac Wasserman, Jeova Farias Sales Rocha Neto
Unsupervised image segmentation aims at grouping different semantic patterns in an image without the use of human annotation. Similarly, image clustering searches for groupings of…
cs.CL2022
Modeling the Graphotactics of Low-Resource Languages Using Sequential GANs
Isaac Wasserman
Generative Adversarial Networks (GANs) have been shown to aid in the creation of artificial data in situations where large amounts of real data are difficult to come by. This issue…