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Author

Hilaf Hasson

2 papers indexed here

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Goal-Conditioned Supervised Learning for Multi-Objective Recommendation

A Multi-Objective Goal-Conditioned Supervised Learning (MOGCSL) framework for automatically learning to achieve multiple objectives from offline sequential data and a novel goal-selection algorithm for MOGCSL to model and identify desired and achievable goals for inference.

Shi-Jun Li, Hilaf Hasson, Jing Hu et al. · 1 citation
Jul 2026

ScalableRAG: High-Quality RAG at Zero Ingestion Cost

This work shows that the operations that such knowledge bases allow can be replicated with zero ingestion costs (not even a vector database), and introduces Limited-Ingestion ScalableRAG, which does use a minimal vector database as well as an automated pattern discovery from a sample of documents, to further improve ac...

Hilaf Hasson, A. Chakravarty, Jayant Thomas et al. · 0 citations

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