3 papers
cs.LG2025
Sat-EnQ: Satisficing Ensembles of Weak Q-Learners for Reliable and Compute-Efficient Reinforcement Learning
Ünver Çiftçi
Deep Q-learning algorithms remain notoriously unstable, especially during early training when the maximization operator amplifies estimation errors. Inspired by bounded rationality…
cs.CL2023
Translation Aligned Sentence Embeddings for Turkish Language
Eren Unlu, Unver Ciftci
Due to the limited availability of high quality datasets for training sentence embeddings in Turkish, we propose a training methodology and a regimen to develop a sentence embeddin…
cs.LG2023
Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models
Eren Unlu, Unver Ciftci
Large Language Models (LLMs) are evolving to integrate multiple modalities, such as text, image, and audio into a unified linguistic space. We envision a future direction based on…