2 papers
cs.CL2026
Decomposing Retrieval Failures in RAG for Long-Document Financial Question Answering
Amine Kobeissi, Philippe Langlais
Retrieval-augmented generation is increasingly used for financial question answering over long regulatory filings, yet reliability depends on retrieving the exact context needed to…
cs.LG2025
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
Peng Lu, Ahmad Rashid, Ivan Kobyzev +2
Regularization techniques are crucial to improving the generalization performance and training efficiency of deep neural networks. Many deep learning algorithms rely on weight deca…