activity
20202024
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 573 across the 6 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2024

Neurocache: Efficient Vector Retrieval for Long-range Language Modeling

Ali Safaya, Deniz Yuret

This paper introduces Neurocache, an approach to extend the effective context size of large language models (LLMs) using an external vector cache to store its past states. Like rec…

cs.CL2022★ 565 cited

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448

Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…

cs.CL2022★ 2 cited

Event Coreference Resolution for Contentious Politics Events

Ali Hürriyetoğlu, Osman Mutlu, Fatih Beyhan +4

We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries. Early scholarship on event informatio…

cs.CL2022★ 2 cited

Mukayese: Turkish NLP Strikes Back

Ali Safaya, Emirhan Kurtuluş, Arda Göktoğan +1

Having sufficient resources for language X lifts it from the under-resourced languages class, but not necessarily from the under-researched class. In this paper, we address the pro…

cs.CL2020

COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules

Ali Hürriyetoğlu, Ali Safaya, Nelleke Oostdijk +2

In the scope of WNUT-2020 Task 2, we developed various text classification systems, using deep learning models and one using linguistically informed rules. While both of the deep l…

cs.CL2020★ 3 cited

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

Ali Safaya, Moutasem Abdullatif, Deniz Yuret

In this paper, we describe our approach to utilize pre-trained BERT models with Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language Identification s…

cs.CL2020★ 1 cited

Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report

Ali Hürriyetoğlu, Vanni Zavarella, Hristo Tanev +3

We describe our effort on automated extraction of socio-political events from news in the scope of a workshop and a shared task we organized at Language Resources and Evaluation Co…