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Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM
Younghun Lee, Amir Bralin, Nobel Sanjay Rebello +1
Educational interventions are effective tools for enhancing student learning. While Large Language Models (LLMs) allow for generating adaptive feedback at scale, current studies la…
Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media
Tunazzina Islam, Dan Goldwasser
Nowadays, social media is pivotal in shaping public discourse, especially on polarizing issues like vaccination, where diverse moral perspectives influence individual opinions. In…
LLM-Human Pipeline for Cultural Context Grounding of Conversations
Rajkumar Pujari, Dan Goldwasser
Conversations often adhere to well-understood social norms that vary across cultures. For example, while "addressing parents by name" is commonplace in the West, it is rare in most…
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
Tunazzina Islam, Dan Goldwasser
Climate change communication on social media increasingly employs microtargeting strategies to effectively reach and influence specific demographic groups. This study presents a po…
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
Nikhil Mehta, Dan Goldwasser
The large scale usage of social media, combined with its significant impact, has made it increasingly important to understand it. In particular, identifying user communities, can b…
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
Tunazzina Islam, Dan Goldwasser
The widespread use of social media has led to a surge in popularity for automated methods of analyzing public opinion. Supervised methods are adept at text categorization, yet the…