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Found 5 papers, 3 papers with code
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data
Prior research on Twitter (now X) data has provided positive evidence of its utility in developing supplementary health surveillance systems.
Under the Surface: Tracking the Artifactuality of LLM-Generated Data
This work delves into the expanding role of large language models (LLMs) in generating artificial data.
How Far Can We Extract Diverse Perspectives from Large Language Models?
In this study, we investigate LLMs' capacity for generating diverse perspectives and rationales on subjective topics, such as social norms and argumentative texts.
Benchmarking Cognitive Biases in Large Language Models as Evaluators
According to our findings, LLMs may still be unable to be utilized for automatic annotation aligned with human preferences.
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information
Specifically, we suggest employing Bayesian inference to incorporate the sense definitions when sense information of the answer is not provided.
