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Found 9 papers, 5 papers with code
ChatGPT as a commenter to the news: can LLMs generate human-like opinions?
ChatGPT, GPT-3. 5, and other large language models (LLMs) have drawn significant attention since their release, and the abilities of these models have been investigated for a wide variety of tasks.
Relevance feedback strategies for recall-oriented neural information retrieval
Our results show that this method can reduce review effort between 17. 85% and 59. 04%, compared to a baseline approach (of no feedback), given a fixed recall target
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
To what degree should we ascribe cognitive capacities to Large Language Models (LLMs), such as the ability to reason about intentions and beliefs known as Theory of Mind (ToM)?
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation
During the COVID-19 pandemic, large amounts of COVID-19 misinformation are spreading on social media.
Distinguishing Commercial from Editorial Content in News
How can we distinguish commercial from editorial content in news, or more specifically, differentiate between advertorials and regular news articles?
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection
We argue that several actions are characterized by their context, such as relevant objects and actors present in the video.
Sign and Search: Sign Search Functionality for Sign Language Lexica
The results show that UMAP and DTW can predict a matching sign with an 80\% and 71\% accuracy respectively at the top-20 retrieved signs using the movement of the dominant hand arm.
Signing as Input for a Dictionary Query: Matching Signs Based on Joint Positions of the Dominant Hand
This study presents a new methodology to search sign language lexica, using a full sign as input for a query.
Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML
A basic step for each data-mining or machine learning task is to determine which model to choose based on the problem and the data at hand.
