2 papers
cs.CL2025
How much do LLMs learn from negative examples?
Shadi Hamdan, Deniz Yuret
Large language models (LLMs) undergo a three-phase training process: unsupervised pre-training, supervised fine-tuning (SFT), and learning from human feedback (RLHF/DPO). Notably,…
cs.CV2024
CarFormer: Self-Driving with Learned Object-Centric Representations
Shadi Hamdan, Fatma Güney
The choice of representation plays a key role in self-driving. Bird's eye view (BEV) representations have shown remarkable performance in recent years. In this paper, we propose to…