Graph Linearization Methods for Reasoning on Graphs with Large Language Models
Large language models have evolved to process multiple modalities beyond text, such as
images and audio, which motivates us to explore how to effectively leverage them for graph …
images and audio, which motivates us to explore how to effectively leverage them for graph …
MultiLingPoT: Enhancing Mathematical Reasoning with Multilingual Program Fine-tuning
Program-of-Thought (PoT), which aims to use programming language instead of natural
language as an intermediate step in reasoning, is an important way for LLMs to solve …
language as an intermediate step in reasoning, is an important way for LLMs to solve …
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks
Graph computational tasks are inherently challenging and often demand the development of
advanced algorithms for effective solutions. With the emergence of large language models …
advanced algorithms for effective solutions. With the emergence of large language models …