Kumar Shridhar
Kumar Shridhar
Verified email at - Homepage
Cited by
Cited by
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
TMLR, 2022
A comprehensive guide to bayesian convolutional neural network with variational inference
K Shridhar, F Laumann, M Liwicki
Masters Thesis at TU Kaiserslautern, 2019
Uncertainty estimations by softplus normalization in bayesian convolutional neural networks with variational inference
K Shridhar, F Laumann, M Liwicki
arXiv preprint arXiv:1806.05978, 2018
Distilling reasoning capabilities into smaller language models
K Shridhar, A Stolfo, M Sachan
Findings of the Association for Computational Linguistics: ACL 2023, 7059-7073, 2023
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
K Shridhar, J Lee, H Hayashi, BK Iwana, S Kang, S Uchida
NeurIPS 2020 Workshop OPT, 2019
Subword semantic hashing for intent classification on small datasets
K Shridhar, A Dash, A Sahu, GG Pihlgren, P Alonso, V Pondenkandath, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019
Indic-transformers: An analysis of transformer language models for indian languages
K Jain, A Deshpande, K Shridhar, F Laumann, A Dash
arXiv preprint arXiv:2011.02323, 2020
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
A Stolfo, Z Jin, K Shridhar, B Schölkopf, M Sachan
ACL 2023, 2022
HyperEmbed: Tradeoffs between resources and performance in NLP tasks with hyperdimensional computing enabled embedding of n-gram statistics
P Alonso*, K Shridhar*, D Kleyko*, E Osipov, M Liwicki
2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021
End to end binarized neural networks for text classification
K Shridhar, H Jain, A Agarwal, D Kleyko
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language …, 2020
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
K Shridhar, J Macina, M El-Assady, T Sinha, M Kapur, M Sachan
EMNLP 2022, 2022
Scaling within document coreference to long texts
R Thirukovalluru, N Monath, K Shridhar, M Zaheer, M Sachan, ...
ACL 2021 (Findings), 3921-3931, 2021
One to rule them all: Towards joint indic language hate speech detection
M Bhatia, TS Bhotia, A Agarwal, P Ramesh, S Gupta, K Shridhar, ...
arXiv preprint arXiv:2109.13711, 2021
Rule based bots vs AI bots
K Shridhar
Medium. com, 2017
How Close Are Chatbots to Passing the Turing Test?
K Shridhar
Chatbots Magazine, 2017
The art of llm refinement: Ask, refine, and trust
K Shridhar, K Sinha, A Cohen, T Wang, P Yu, R Pasunuru, M Sachan, ...
arXiv preprint arXiv:2311.07961, 2023
Author Profiling using Semantic and Syntactic Features: Notebook for PAN at CLEF 2019
G Kovács, V Balogh, P Mehta, K Shridhar, P Alonso, M Liwicki
szte, 2019
Translational equivariance in kernelizable attention
M Horn, K Shridhar, E Groenewald, PFM Baumann
arXiv preprint arXiv:2102.07680, 2021
Screws: A modular framework for reasoning with revisions
K Shridhar, H Jhamtani, H Fang, B Van Durme, J Eisner, P Xia
arXiv preprint arXiv:2309.13075, 2023
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Đ Miladinović*, K Shridhar*, K Jain, MB Paulus, JM Buhmann, M Sachan, ...
NeurIPS 2022, 2022
The system can't perform the operation now. Try again later.
Articles 1–20