2 papers
cs.LG2026
Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity
Cristian Hinostroza, Rodrigo Toro Icarte, Christ Devia +4
Large language models (LLMs) have revolutionized natural language processing. Understanding their internal mechanisms is crucial for developing more interpretable and optimized arc…
cs.CV2023
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness
Valentin Barriere, Felipe del Rio, Andres Carvallo De Ferari +3
Artificial neural networks typically struggle in generalizing to out-of-context examples. One reason for this limitation is caused by having datasets that incorporate only partial…