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Vaggelis Dorovatas

Dissecting Training-Free Uncertainty Estimation in Multimodal Large Language Models
2026 · Seifi, Soroush, Dorovatas, Vaggelis, et al. · arXiv (Cornell University)
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Continual Self-Improvement with Lightweight Experiential Latent Memories
2026 · Dorovatas, Vaggelis, Kalaj, Nancy, et al. · arXiv (Cornell University)
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Ego: Embedding-Guided Personalization of Vision-Language Models
2026 · Seifi, Soroush, Gardier, Simon, et al. · arXiv (Cornell University)
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Position: Modular Memory is the Key to Continual Learning Agents
2026 · Dorovatas, Vaggelis, Schwerin, Malte, et al. · arXiv (Cornell University)
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Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
2025 · Dorovatas, Vaggelis, Seifi, Soroush, et al. · arXiv (Cornell University)
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Online In-Context Distillation for Low-Resource Vision Language Models
2025 · Kang, Zhiqi, Aljundi, Rahaf, et al. · arXiv (Cornell University)
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Auto-Compressing Networks
2025 · Dorovatas, Vaggelis, Paraskevopoulos, Georgios, et al. · arXiv (Cornell University)
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Personalization Toolkit: Training Free Personalization of Large Vision Language Models
2025 · Seifi, Soroush, Dorovatas, Vaggelis, et al. · arXiv (Cornell University)
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Masked Diffusion Language Models with Frequency-Informed Training
2025 · Despoina Kosmopoulou, Efthymios Georgiou, et al. · BabyLM Workshop
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Works count: 10
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