8 papers
Trove: A Flexible Toolkit for Dense Retrieval
Reza Esfandiarpoor, Max Zuo, Stephen H. Bach
We introduce Trove, an easy-to-use open-source retrieval toolkit that simplifies research experiments without sacrificing flexibility or speed. For the first time, we introduce eff…
TheMCPCompany: Creating General-purpose Agents with Task-specific Tools
Reza Esfandiarpoor, Vishwas Suryanarayanan, Stephen H. Bach +2
Since the introduction of the Model Context Protocol (MCP), the number of available tools for Large Language Models (LLMs) has increased significantly. These task-specific tool set…
Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance
Reza Esfandiarpoor, George Zerveas, Ruochen Zhang +3
Although synthetic data has changed various aspects of information retrieval (IR) pipelines, the main training paradigm remains: contrastive learning with binary relevance labels,…
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
Reza Esfandiarpoor, Amy Pu, Mohsen Hajabdollahi +1
In many practical few-shot learning problems, even though labeled examples are scarce, there are abundant auxiliary datasets that potentially contain useful information. We propose…
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network
Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti +4
Automating classification and segmentation process of abnormal regions in different body organs has a crucial role in most of medical imaging applications such as funduscopy, endos…
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames
Mohsen Hajabdollahi, Reza Esfandiarpoor, Pejman Khadivi +4
Wireless capsule endoscopy (WCE) is an effective mean for diagnosis of gastrointestinal disorders. Detection of informative scenes in WCE video could reduce the length of transmitt…