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08/31/2023
Socratis: Are large multimodal models emotionally aware?
Existing emotion prediction benchmarks contain coarse emotion labels whi...
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07/26/2023
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Advances in large language models (LLMs) have empowered a variety of app...
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03/17/2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Toxic language detection systems often falsely flag text that contains m...
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04/18/2021
Misinfo Belief Frames: A Case Study on Covid Climate News
Prior beliefs of readers impact the way in which they project meaning on...
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10/24/2020
Go Figure! A Meta Evaluation of Factuality in Summarization
Text generation models can generate factually inconsistent text containi...
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10/04/2020
Paragraph-Level Commonsense Transformers with Recurrent Memory
Human understanding of narrative texts requires making commonsense infer...
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04/24/2020
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
The US weather radar archive holds detailed information about biological...
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11/10/2019
Social Bias Frames: Reasoning about Social and Power Implications of Language
Language has the power to reinforce stereotypes and project social biase...
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07/02/2019
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow
We introduce Cooperative Generator-Discriminator Networks (Co-opNet), a ...
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05/30/2019
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
We introduce a large-scale dataset of math word problems and an interpre...
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11/21/2018
