2 papers
cs.LG2026
FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective Financial Forecasting
Dorothy Torres, Wei Cheng, Henan Huang
Large language models (LLMs) can synthesize financial narratives but may express high confidence when evidence is sparse, stale, or contradictory. This failure is especially conseq…
cs.LG2026
Role-Aware Neural Convex Divergence Heads for Asymmetric Representation Learning
He Huang, Lu Shen, Yunfeng Huang +1
Many representation learning problems involve directed relations, such as lexical entailment, sentence entailment, ontology hierarchy, and citation links. Standard Euclidean, cosin…