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cs.CV2026
Retrofitting Recurrent Vision-Language Models from Pretrained Backbones
Madhav Iyengar, Andreas Geiger, Hilde Kühne
Recent work shows that depth recurrence can be retrofitted into pretrained language models. In this work, we adapt this paradigm for visual understanding, using depth recurrence to…
cs.CL2026
LLM4Impact: Integrating Heterogeneous Information for Scientific Impact Prediction
Yong Cao, Markus Flicke, Haoyu He +2
Predicting the future impact of a newly published paper is challenging because it must be inferred from heterogeneous evidence available at publication time. Existing approaches of…