← Search

Luona Wei

2 accepted papers

2025

Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework

EMNLP 2025

The large language models (LLMs) learning framework for math problem generation (MPG) mostly performs homogeneous training in different epochs on small-scale manually annotated data. This pattern struggles to provide large-scale new quality data to support continual improvement, and fails to stimula

2024

Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way

NeurIPS 2024spotlight

The quadratic unconstrained binary optimization (QUBO) is a well-known NP-hard problem that takes an $n\times n$ matrix $Q$ as input and decides an $n$-dimensional 0-1 vector $x$, to optimize a quadratic function. Existing learning-based models that always formulate the solution process as sequentia…

Cited by 3SourcePDFScholar