I am a third year PhD student at ETH Zürich in Switzerland, supervised by Prof. Mrinmaya Sachan and Nicholas Monath from Google DeepMind. My PhD research investigate how generative LLMs reason, what factors affect their reasoning performance, and how to optimize their reasoning skills.
I made my computer learn today!
PhD @ ETH Zürich in NLP and ML
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ETH Zürich
- Zürich, Switzerland
- https://kumar-shridhar.github.io/
- @JupyterAI
Highlights
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PyTorch-BayesianCNN
PyTorch-BayesianCNN PublicBayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
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eth-nlped/socratic-generation
eth-nlped/socratic-generation PublicAutomatic Generation of Scaffolding Questions for Learning Math, EMNLP 2022
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Master-Thesis-BayesianCNN
Master-Thesis-BayesianCNN PublicMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
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