3 papers
cs.AI2026
Building Interpretable Models for Moral Decision-Making
Mayank Goel, Aritra Das, Paras Chopra
We build a custom transformer model to study how neural networks make moral decisions on trolley-style dilemmas. The model processes structured scenarios using embeddings that enco…
cs.LG2025
Quantum-inspired Benchmark for Estimating Intrinsic Dimension
Aritra Das, Joseph T. Iosue, Victor V. Albert
Machine learning models can generalize well on real-world datasets. According to the manifold hypothesis, this is possible because datasets lie on a latent manifold with small intr…
cs.LG2024
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
Tianyu He, Darshil Doshi, Aritra Das +1
Large language models can solve tasks that were not present in the training set. This capability is believed to be due to in-context learning and skill composition. In this work, w…