12 citations · 15 across the 4 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.AI2024★ 12 cited
Cognitive Bias in Decision-Making with LLMs
Jessica Echterhoff, Yao Liu, Abeer Alessa +2
Large language models (LLMs) offer significant potential as tools to support an expanding range of decision-making tasks. Given their training on human (created) data, LLMs have be…
cs.CL2024★ 1 cited
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
Jianing Wang, Junda Wu, Yupeng Hou +3
Do current large language models (LLMs) better solve graph reasoning and generation tasks with parameter updates? In this paper, we propose InstructGraph, a framework that empowers…