2 papers
cs.LG2025
Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error
Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos
Despite their proficiency in various language tasks, Large Language Models (LLMs) struggle with combinatorial problems like Satisfiability, Traveling Salesman Problem, or even basi…
stat.ML2024
Optimization Can Learn Johnson Lindenstrauss Embeddings
Nikos Tsikouras, Constantine Caramanis, Christos Tzamos
Embeddings play a pivotal role across various disciplines, offering compact representations of complex data structures. Randomized methods like Johnson-Lindenstrauss (JL) provide s…