activity
20182024
most citedRecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes

10 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Sequential Compositional Generalization in Multimodal Models

Semih Yagcioglu, Osman Batur İnce, Aykut Erdem +3

The rise of large-scale multimodal models has paved the pathway for groundbreaking advances in generative modeling and reasoning, unlocking transformative applications in a variety…

cs.CL2023

Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers

Osman Batur İnce, Tanin Zeraati, Semih Yagcioglu +3

Neural networks have revolutionized language modeling and excelled in various downstream tasks. However, the extent to which these models achieve compositional generalization compa…

cs.CL2019

Procedural Reasoning Networks for Understanding Multimodal Procedures

Mustafa Sercan Amac, Semih Yagcioglu, Aykut Erdem +1

This paper addresses the problem of comprehending procedural commonsense knowledge. This is a challenging task as it requires identifying key entities, keeping track of their state…

cs.CL2019

Detecting Cybersecurity Events from Noisy Short Text

Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak +4

It is very critical to analyze messages shared over social networks for cyber threat intelligence and cyber-crime prevention. In this study, we propose a method that leverages both…

cs.CL2018★ 10 cited

RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes

Semih Yagcioglu, Aykut Erdem, Erkut Erdem +1

Understanding and reasoning about cooking recipes is a fruitful research direction towards enabling machines to interpret procedural text. In this work, we introduce RecipeQA, a da…