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cs.LG2025
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Yudong W. Xu, Wenhao Li, Scott Sanner +1
We present a Transformer-based framework for Constraint Satisfaction Problems (CSPs). CSPs find use in many applications and thus accelerating their solution with machine learning…
cs.CL2025
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison
George-Kirollos Saad, Scott Sanner
Query-driven recommendation with unknown items poses a challenge for users to understand why certain items are appropriate for their needs. Query-driven Contrastive Summarization (…