Your Spending Needs Attention: Modeling Financial Habits with Transformers

arXiv:2507.23267 · cs.IR · Submitted 2025-07-31 · Read on arXiv

cs.IR

Submitted: 2025-07-31

Updated: 2026-10-29

Terminology

• Transformer — 3× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Machine Learning (ML) — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 6 episodes
• Transformers — 1× in this paper · explained in 2 episodes

Related papers

• UniSGR-V2: Stepwise Target-Side Feature Anticipation and Crossing for Generative Recommendation
• QProtFuse: Query-Guided Layer Fusion for Retrieval-Augmented Protein Function Prediction
• The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
• SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
• MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
• DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking