activity
20242026
collaborators

6 papers

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

"We Demand Justice!": Towards Social Context Grounding of Political Texts

Rajkumar Pujari, Chengfei Wu, Dan Goldwasser

Social media discourse frequently consists of 'seemingly similar language used by opposing sides of the political spectrum', often translating to starkly contrasting perspectives.…