3 papers
cs.CV2025
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
Diego Ortego, Marlon Rodríguez, Mario Almagro +3
Foundation models have revolutionized artificial intelligence across numerous domains, yet their transformative potential remains largely untapped in Extreme Multi-label Classifica…
cs.CL2025
Fine-grained auxiliary learning for real-world product recommendation
Mario Almagro, Diego Ortego, David Jimenez
Product recommendation is the task of recovering the closest items to a given query within a large product corpora. Generally, one can determine if top-ranked products are related…
cs.CL2023
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias
Mario Almagro, Emilio Almazán, Diego Ortego +1
Textual noise, such as typos or abbreviations, is a well-known issue that penalizes vanilla Transformers for most downstream tasks. We show that this is also the case for sentence…