8 citations · 12 across the 2 of their papers we have counts for
3 papers
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
Abhinav Lalwani, Tasha Kim, Lovish Chopra +3
Translating natural language into formal language such as First-Order Logic (FOL) is a foundational challenge in NLP with wide-ranging applications in automated reasoning, misinfor…
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
Abhinav Lalwani, Aman Saraiya, Apoorv Singh +2
Machine Learning has become an integral part of engineering design and decision making in several domains, including sports. Deep Neural Networks (DNNs) have been the state-of-the-…
Logical Fallacy Detection
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya +6
Reasoning is central to human intelligence. However, fallacious arguments are common, and some exacerbate problems such as spreading misinformation about climate change. In this pa…