most citedQuantifying the Impact of Large Language Models on Collective Opinion Dynamics

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem

Chun Zheng, Lianlong Wu, Bingqian Li +2

Large Language Models (LLMs) have achieved great improvements in recent years. Nevertheless, it still remains unclear how good LLMs are for reasoning tasks, especially for long-cha…

econ.GN2026

Unveiling contrasting impacts of heat mitigation and adaptation policies on U.S. internal migration

Chao Li, Xing Su, Chao Fan +7

While climate-induced population migration has received rising attention, the role played by human climate endeavors remains underexplored. Here, we combine machine learning with a…

cs.AI2023★ 2 cited

Construction contract risk identification based on knowledge-augmented language model

Saika Wong, Chunmo Zheng, Xing Su +1

Contract review is an essential step in construction projects to prevent potential losses. However, the current methods for reviewing construction contracts lack effectiveness and…

cs.AI2023★ 2 cited

Automating construction contract review using knowledge graph-enhanced large language models

Chunmo Zheng, Saika Wong, Xing Su +3

An effective and efficient review of construction contracts is essential for minimizing construction projects losses, but current methods are time-consuming and error-prone. Studie…

cs.SI2023★ 4 cited

Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Chao Li, Xing Su, Haoying Han +3

The process of opinion expression and exchange is a critical component of democratic societies. As people interact with large language models (LLMs) in the opinion shaping process…