1 citations · 1 across the 5 of their papers we have counts for
5 papers
Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices
Mallika Mainali, Harsha Sureshbabu, Anik Sen +7
As algorithmic decision-makers are increasingly applied to high-stakes domains, AI alignment research has evolved from a focus on universal value alignment to context-specific appr…
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…
How Well Can Vison-Language Models Understand Humans' Intention? An Open-ended Theory of Mind Question Evaluation Benchmark
Ximing Wen, Mallika Mainali, Anik Sen
Vision Language Models (VLMs) have demonstrated strong reasoning capabilities in Visual Question Answering (VQA) tasks; however, their ability to perform Theory of Mind (ToM) tasks…
Exploring Cognitive Attributes in Financial Decision-Making
Mallika Mainali, Rosina O. Weber
Cognitive attributes are fundamental to metacognition, shaping how individuals process information, evaluate choices, and make decisions. To develop metacognitive artificial intell…
What's meant by explainable model: A Scoping Review
Mallika Mainali, Rosina O Weber
We often see the term explainable in the titles of papers that describe applications based on artificial intelligence (AI). However, the literature in explainable artificial intell…