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Found 9 papers, 2 papers with code
Search Engines Post-ChatGPT: How Generative Artificial Intelligence Could Make Search Less Reliable
In this commentary, we discuss the evolving nature of search engines, as they begin to generate, index, and distribute content created by generative artificial intelligence (GenAI).
China and the U.S. produce more impactful AI research when collaborating together
Given AI's massive potential, as well as the fierce geopolitical tensions between the two nations, a number of policies have been put in place that discourage AI scientists from migrating to, or collaborating with, the other country.
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Finally, our sociolinguistic analyses suggest that COVID-19 informed users tend to use more narratives than misinformed users.
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities
For an effective health communication, it is imperative to focus on "preference-based framing" where the preferences of the target sub-community are taken into consideration.
The phonetic bases of vocal expressed emotion: natural versus acted
Our tests show significant differences in the manner and choice of phonemes in acted and natural speech, concluding moderate to low validity and value in using acted speech databases for emotion classification tasks.
Detecting gender differences in perception of emotion in crowdsourced data
While we limit ourselves to a single modality (i. e. speech), our framework is applicable to studies of emotion perception from all such loosely annotated data in general.
Hierarchical Routing Mixture of Experts
Addressing these problems, we propose a binary tree-structured hierarchical routing mixture of experts (HRME) model that has classifiers as non-leaf node experts and simple regression models as leaf node experts.
Neural Regression Trees
Regression-via-Classification (RvC) is the process of converting a regression problem to a classification one.
Neural Regression Tree
Regression-via-Classification (RvC) is the process of converting a regression problem to a classification one.
