Yuanhang Zheng

MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification

2022 · arXiv (Cornell University)

Text classification struggles to generalize to unseen classes with very few labeled text instances per class. In such a few-shot learning (FSL) setting, metric-based meta-learning approaches have shown promising results. Previous studies mainly aim to …

ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval

2024 · arXiv (Cornell University)

Tool learning aims to extend the capabilities of large language models (LLMs) with external tools. A major challenge in tool learning is how to support a large number of tools, including unseen tools. To address …