1 citations · 1 across the 6 of their papers we have counts for
6 papers
REIGN: Refurbished Embeddings with Integrated Guidance Networks for Efficient Context-Length Scaling
Devrim Çavuşoğlu, Emre Akbaş
Dense retrieval over long documents is expensive. Token-level encoders scale quadratically in sequence length, and most long-context embedding models reach 32K tokens only through…
DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking
Devrim Cavusoglu, Secil Sen, Ulas Sert
Recent advancements in Natural Language Processing (NLP) have impacted numerous sub-fields such as natural language generation, natural language inference, question answering, and…
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts
Gokcen Gokceoglu, Devrim Cavusoglu, Emre Akbas +1
This paper introduces a multi-level, multi-label text classification dataset comprising over 3000 documents. The dataset features literary and critical texts from 19th-century Otto…
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection
Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon +4
Drone detection is a challenging object detection task where visibility conditions and quality of the images may be unfavorable, and detections might become difficult due to comple…
Jury: A Comprehensive Evaluation Toolkit
Devrim Cavusoglu, Secil Sen, Ulas Sert +1
Evaluation plays a critical role in deep learning as a fundamental block of any prediction-based system. However, the vast number of Natural Language Processing (NLP) tasks and the…
Increasing Data Diversity with Iterative Sampling to Improve Performance
Devrim Cavusoglu, Ogulcan Eryuksel, Sinan Altinuc
As a part of the Data-Centric AI Competition, we propose a data-centric approach to improve the diversity of the training samples by iterative sampling. The method itself relies st…