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cs.LG2026
Quantum Models with Multi-Stage Training for Compositional Concept Generalization
Mina Abbaszadeh, Matilda Karabina Moore, Mehrnoosh Sadrzadeh +1
Compositional Concept Generalization (CoCoGen), the ability to systematically recombine learned primitives in novel contexts, is a key challenge for multimodal learning. In this wo…
cs.LG2026
Do Transformers Need Three Projections? Systematic Study of QKV Variants
Ali Kayyam, Anusha Madan Gopal, M Anthony Lewis
Transformers have become the standard solution for various AI tasks, with the query, key, and value (QKV) attention formulation playing a central role. However, the individual cont…
cs.LG2026
Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning
Philipp Hellwig, Willem Zuidema, Claire E. Stevenson +1
Analogical reasoning is a hallmark of human intelligence, enabling us to solve new problems by transferring knowledge from one situation to another. Yet, developing artificial inte…