69 citations · 96 across the 9 of their papers we have counts for
10 papers
Reward Modeling for Scientific Writing Evaluation
Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych
Scientific writing is an expert-domain task that demands deep domain knowledge, task-specific requirements and reasoning capabilities that leverage the domain knowledge to satisfy…
Expert Preference-based Evaluation of Automated Related Work Generation
Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych
Expert domain writing, such as scientific writing, typically demands extensive domain knowledge. Although large language models (LLMs) show promising potential in this task, evalua…
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
Furkan Şahinuç, Thy Thy Tran, Yulia Grishina +3
Scientific leaderboards are standardized ranking systems that facilitate evaluating and comparing competitive methods. Typically, a leaderboard is defined by a task, dataset, and e…
Systematic Task Exploration with LLMs: A Study in Citation Text Generation
Furkan Şahinuç, Ilia Kuznetsov, Yufang Hou +1
Large language models (LLMs) bring unprecedented flexibility in defining and executing complex, creative natural language generation (NLG) tasks. Yet, this flexibility brings new c…
MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection
Cagri Toraman, Oguzhan Ozcelik, Furkan Şahinuç +1
The rapid dissemination of misinformation through online social networks poses a pressing issue with harmful consequences jeopardizing human health, public safety, democracy, and t…
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
Nurullah Sevim, Ege Ozan Özyedek, Furkan Şahinuç +1
Transformer-based language models utilize the attention mechanism for substantial performance improvements in almost all natural language processing (NLP) tasks. Similar attention…
Impact of Tokenization on Language Models: An Analysis for Turkish
Cagri Toraman, Eyup Halit Yilmaz, Furkan Şahinuç +1
Tokenization is an important text preprocessing step to prepare input tokens for deep language models. WordPiece and BPE are de facto methods employed by important models, such as…
Large-Scale Hate Speech Detection with Cross-Domain Transfer
Cagri Toraman, Furkan Şahinuç, Eyup Halit Yilmaz
The performance of hate speech detection models relies on the datasets on which the models are trained. Existing datasets are mostly prepared with a limited number of instances or…
BlackLivesMatter 2020: An Analysis of Deleted and Suspended Users in Twitter
Cagri Toraman, Furkan Şahinuç, Eyup Halit Yilmaz
After George Floyd's death in May 2020, the volume of discussion in social media increased dramatically. A series of protests followed this tragic event, called as the 2020 BlackLi…
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
Lutfi Kerem Senel, Ihsan Utlu, Furkan Şahinuç +2
As an ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representation. They captur…