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Qizhi Chu

2 accepted papers

2026

ParaTool: Shifting Tool Representations from Context to Parameters

ICML 2026poster

Tool calling extends large language models (LLMs) by enabling grounded interaction with external executable interfaces, thereby supporting environment-coupled problem solving. However, mainstream in-context learning (ICL) approaches typically incorporate detailed tool documentation and usage example…

Cited by 0SourceScholar
2024

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models

NeurIPS 2024poster

The need to analyze graphs is ubiquitous across various fields, from social networks to biological research and recommendation systems. Therefore, enabling the ability of large language models (LLMs) to process graphs is an important step toward more advanced general intelligence. However, current L…