Yujiu Yang

Improving Your Graph Neural Networks: A High-Frequency Booster

2022 · arXiv (Cornell University)

Graph neural networks (GNNs) hold the promise of learning efficient representations of graph-structured data, and one of its most important applications is semi-supervised node classification. However, in this application, GNN frameworks tend to fail due …

Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval

2022 · arXiv (Cornell University)

Zero-shot entity retrieval, aiming to link mentions to candidate entities under the zero-shot setting, is vital for many tasks in Natural Language Processing. Most existing methods represent mentions/entities via the sentence embeddings of corresponding context …

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

2023 · arXiv (Cornell University)

Large language models have made significant progress in various language tasks, yet they still struggle with complex mathematics. In this paper, we propose ToRA a series of Tool-integrated Reasoning Agents designed to solve challenging mathematical …

CriticBench: Benchmarking LLMs for Critique-Correct Reasoning

2024

The ability of Large Language Models (LLMs) to critique and refine their reasoning is crucial for their application in evaluation, feedback provision, and self-improvement.This paper introduces CRITICBENCH, a comprehensive benchmark designed to assess LLMs' abilities …