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Hi there 👋

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.

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Kumar Shridhar's Projects

spacy icon spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spanningtrees icon spanningtrees

Code Repository for "Please Mind the Root: Decoding Arborescences for Dependency Parsing" and "On Finding the K-best Non-projective Dependency Trees"

stl10 icon stl10

Python utilities for reading the STL-10 dataset: http://cs.stanford.edu/~acoates/stl10/

svamp icon svamp

NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

the-incredible-pytorch icon the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

utils icon utils

Some basic needed utilities

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