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Abdulkadir Erol

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Preprint Jul 2026

TopoTuner: Topological Finetuning of Large Language Models

TopoTuner is competitive with full fine-tuning while training only 1-2% of the model parameters, and outperforms LoRA in 7 out of 9 model-dataset settings, which can change up to 39.57% of the projection parameters.

Abdulkadir Erol, Yash Mahajan, Vepaul Hariprashad et al. · 0 citations
Jun 2026

Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models

This study systematically examines the vulnerabilities of open and closed-weight LVLMs, including LLaVA, InstructBLIP, Fuyu, Qwen, DeepSeek, Gemini, GPT, and Grok, using adversarial prompting strategies informed by social theories to simulate real-world social manipulation tactics.

Abdulkadir Erol, Trilok Padhi, Agnik Saha et al. · 0 citations