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Found 5 papers, 2 papers with code
LUQ: Long-text Uncertainty Quantification for LLMs
With \textsc{Luq} as the tool for UQ, we investigate behavior patterns of several popular LLMs' response confidence spectrum and how that interplays with the response' factuality.
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
This paper investigates the potential benefits of language-specific fact-checking models, focusing on the case of Chinese.
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
In this paper, we explore the application of GNNs to edge regression tasks in both static and dynamic settings, focusing on predicting food and agriculture trade values between nations.
Language is All a Graph Needs
The emergence of large-scale pre-trained language models has revolutionized various AI research domains.
Learning Action Conditions from Instructional Manuals for Instruction Understanding
The ability to infer pre- and postconditions of an action is vital for comprehending complex instructions, and is essential for applications such as autonomous instruction-guided agents and assistive AI that supports humans to perform physical tasks.
