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cs.AI2026
GrammarRL: Effective Grammar-Constrained Decoding via Reinforcement Learning
Gabriele Tuccio, Antonino Furnari, Aldo Gangemi +1
Grammar-constrained generation guarantees syntactic validity, but can substantially degrade semantic quality when the model's preferred outputs are poorly aligned with the imposed…
cs.IR2026
RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender
Francesco Granata, Lorenzo Lamazzi, Misael Mongiovì +2
We present RAGEAR (Retrieval-Augmented Graph-Enhanced Academic Recommender), a neurosymbolic recommender system for academic course recommendation. RAGEAR combines dense retrieval…