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Found 5 papers, 0 papers with code
AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements
As part of this study, we have curated and developed two datasets that can prove to be useful for Social TV research: 1) dataset of ad-related tweets and 2) dataset of ad descriptions of Superbowl advertisements.
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.
Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models
Our research integrates graph data with Large Language Models (LLMs), which, despite their advancements in various fields using large text corpora, face limitations in encoding entire graphs due to context size constraints.
Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer
This paper explores the impact of training data input diversity on the quality of the generated text from the multi-style transfer model.
