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Found 6 papers, 2 papers with code
Context Sensitivity Estimation in Toxicity Detection
We introduce a new task, context-sensitivity estimation, which aims to identify posts whose perceived toxicity changes if the context (previous post) is also considered.
From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer
We study the task of toxic spans detection, which concerns the detection of the spans that make a text toxic, when detecting such spans is possible.
Sentiment Analysis of Homeric Text: The 1st Book of Iliad
By estimating the fraction of annotators that found a verse as belonging to a specific sentiment class, we model the poem’s perceived sentiment as a multi-variate time series.
VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
In the first stage, we propose prompting VLLMs to generate descriptions in natural language of the subject's apparent emotion relative to the visual context.
Ranked #1 on
Emotion Recognition in Context
on EMOTIC
A Simple Baseline for Knowledge-Based Visual Question Answering
This paper is on the problem of Knowledge-Based Visual Question Answering (KB-VQA).
Ranked #5 on
Visual Question Answering (VQA)
on A-OKVQA
(DA VQA Score metric)
Toxicity Detection can be Sensitive to the Conversational Context
User posts whose perceived toxicity depends on the conversational context are rare in current toxicity detection datasets.
