Kumar Shridhar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Convolutional Neural Networks

Comprehensive Guide

Character N Grams

Variational Inference

Top Venues

Publications

Denis Tarasov, Kumar Shridhar
Distilling LLMs' Decomposition Abilities into Compact Language Models. CoRR (2024)
Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. ACL (1) (2023)
Kushal Jain, Kumar Shridhar
First Step Advantage: Importance of Starting Right in Multi-Step Reasoning. CoRR (2023)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) (2023)
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, Patrick Xia
SCREWS: A Modular Framework for Reasoning with Revisions. CoRR (2023)
Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan
Automatic Educational Question Generation with Difficulty Level Controls. AIED (2023)
Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan
Distilling Reasoning Capabilities into Smaller Language Models. ACL (Findings) (2023)
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
The ART of LLM Refinement: Ask, Refine, and Trust. CoRR (2023)
Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. CoRR (2022)
Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. EMNLP (2022)
Djorde Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. CoRR (2022)
Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. NeurIPS (2022)
Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
Longtonotes: OntoNotes with Longer Coreference Chains. CoRR (2022)
Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. CoRR (2022)
Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan
Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. CoRR (2022)
Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics. IJCNN (2021)
Mehar Bhatia, Tenzin Singhay Bhotia, Akshat Agarwal, Prakash Ramesh, Shubham Gupta, Kumar Shridhar, Felix Laumann, Ayushman Dash
One to Rule Them All: Towards Joint Indic Language Hate Speech Detection. FIRE (Working Notes) (2021)
Max Horn, Kumar Shridhar, Elrich Groenewald, Philipp F. M. Baumann
Translational Equivariance in Kernelizable Attention. CoRR (2021)
Mehar Bhatia, Tenzin Singhay Bhotia, Akshat Agarwal, Prakash Ramesh, Shubham Gupta, Kumar Shridhar, Felix Laumann, Ayushman Dash
One to rule them all: Towards Joint Indic Language Hate Speech Detection. CoRR (2021)
Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum
Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) (2021)
Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics. CoRR (2020)
Kumar Shridhar, Harshil Jain, Akshat Agarwal, Denis Kleyko
End to End Binarized Neural Networks for Text Classification. SustaiNLP@EMNLP (2020)
Kushal Jain, Adwait Deshpande, Kumar Shridhar, Felix Laumann, Ayushman Dash
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages. CoRR (2020)
Harshil Jain, Akshat Agarwal, Kumar Shridhar, Denis Kleyko
End to End Binarized Neural Networks for Text Classification. CoRR (2020)
Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida
ProbAct: A Probabilistic Activation Function for Deep Neural Networks. CoRR (2019)
Kumar Shridhar, Felix Laumann, Marcus Liwicki
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference. CoRR (2019)
György Kovács, Vanda Balogh, Purvanshi Mehta, Kumar Shridhar, Pedro Alonso, Marcus Liwicki
Author Profiling using Semantic and Syntactic Features. CLEF (Working Notes) (2019)
Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, György Kovács, Foteini Simistira, Marcus Liwicki
Subword Semantic Hashing for Intent Classification on Small Datasets. IJCNN (2019)
Kumar Shridhar, Amit Sahu, Ayushman Dash, Pedro Alonso, Gustav Pihlgren, Vinay Pondeknath, Fotini Simistira, Marcus Liwicki
Subword Semantic Hashing for Intent Classification on Small Datasets. CoRR (2018)
Felix Laumann, Kumar Shridhar, Adrian Llopart Maurin
Bayesian Convolutional Neural Networks. CoRR (2018)