3 papers
cs.CL2025
Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change
Murathan Kurfalı, Shorouq Zahra, Joakim Nivre +1
Climate-Eval is a comprehensive benchmark designed to evaluate natural language processing models across a broad range of tasks related to climate change. Climate-Eval aggregates e…
cs.CL2025
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
Fredrik Carlsson, Fangyu Liu, Daniel Ward +2
This paper introduces the counter-intuitive generalization results of overfitting pre-trained large language models (LLMs) on very small datasets. In the setting of open-ended text…
cs.CL2024
Lightweight Connective Detection Using Gradient Boosting
Mustafa Erolcan Er, Murathan Kurfalı, Deniz Zeyrek
In this work, we introduce a lightweight discourse connective detection system. Employing gradient boosting trained on straightforward, low-complexity features, this proposed appro…