3 citations · 3 across the 6 of their papers we have counts for
6 papers
Talking Point based Ideological Discourse Analysis in News Events
Nishanth Nakshatri, Nikhil Mehta, Siyi Liu +4
Analyzing ideological discourse even in the age of LLMs remains a challenge, as these models often struggle to capture the key elements that shape real-world narratives. Specifical…
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…
Interactively Learning Social Media Representations Improves News Source Factuality Detection
Nikhil Mehta, Dan Goldwasser
The rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs. Rapidly detecting fak…
An Interactive Framework for Profiling News Media Sources
Nikhil Mehta, Dan Goldwasser
The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the…
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz +3
Many approaches to Natural Language Processing (NLP) tasks often treat them as single-step problems, where an agent receives an instruction, executes it, and is evaluated based on…
Improving Natural Language Interaction with Robots Using Advice
Nikhil Mehta, Dan Goldwasser
Over the last few years, there has been growing interest in learning models for physically grounded language understanding tasks, such as the popular blocks world domain. These wor…