7 citations · 7 across the 3 of their papers we have counts for
4 papers
Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?
Aabid Karim, Abdul Karim, Bhoomika Lohana +3
We demonstrate that large language models' (LLMs) mathematical reasoning is culturally sensitive: testing 14 models from Anthropic, OpenAI, Google, Meta, DeepSeek, Mistral, and Mic…
Toxicity Prediction by Multimodal Deep Learning
Abdul Karim, Jaspreet Singh, Avinash Mishra +3
Prediction of toxicity levels of chemical compounds is an important issue in Quantitative Structure-Activity Relationship (QSAR) modeling. Although toxicity prediction has achieved…
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees
Abdul Karim, Avinash Mishra, M A Hakim Newton +1
Toxicity prediction of chemical compounds is a grand challenge. Lately, it achieved significant progress in accuracy but using a huge set of features, implementing a complex blackb…
Machine Learning Interpretability: A Science rather than a tool
Abdul Karim, Avinash Mishra, MA Hakim Newton +1
The term "interpretability" is oftenly used by machine learning researchers each with their own intuitive understanding of it. There is no universal well agreed upon definition of…