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Kumar Shridhar
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2020 – today
- 2024
- [i19]Denis Tarasov, Kumar Shridhar:
Distilling LLMs' Decomposition Abilities into Compact Language Models. CoRR abs/2402.01812 (2024) - [i18]Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. CoRR abs/2402.13904 (2024) - 2023
- [c12]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: 545-561 - [c11]Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan:
Distilling Reasoning Capabilities into Smaller Language Models. ACL (Findings) 2023: 7059-7073 - [c10]Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan:
Automatic Educational Question Generation with Difficulty Level Controls. AIED 2023: 476-488 - [c9]Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan:
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) 2023: 1398-1412 - [i17]Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, Patrick Xia:
SCREWS: A Modular Framework for Reasoning with Revisions. CoRR abs/2309.13075 (2023) - [i16]Kushal Jain, Kumar Shridhar:
First Step Advantage: Importance of Starting Right in Multi-Step Reasoning. CoRR abs/2311.07945 (2023) - [i15]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 abs/2311.07961 (2023) - 2022
- [c8]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: 4136-4149 - [c7]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 - [i14]Ðorðe 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 abs/2209.12590 (2022) - [i13]Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan:
Longtonotes: OntoNotes with Longer Coreference Chains. CoRR abs/2210.03650 (2022) - [i12]Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan:
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. CoRR abs/2210.12023 (2022) - [i11]Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan:
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. CoRR abs/2211.12835 (2022) - [i10]Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan:
Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. CoRR abs/2212.00193 (2022) - 2021
- [c6]Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum:
Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) 2021: 3921-3931 - [c5]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: 419-431 - [c4]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: 1-9 - [i9]Max Horn, Kumar Shridhar, Elrich Groenewald, Philipp F. M. Baumann:
Translational Equivariance in Kernelizable Attention. CoRR abs/2102.07680 (2021) - [i8]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 abs/2109.13711 (2021) - 2020
- [c3]Kumar Shridhar, Harshil Jain, Akshat Agarwal, Denis Kleyko:
End to End Binarized Neural Networks for Text Classification. SustaiNLP@EMNLP 2020: 29-34 - [i7]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 abs/2003.01821 (2020) - [i6]Harshil Jain, Akshat Agarwal, Kumar Shridhar, Denis Kleyko:
End to End Binarized Neural Networks for Text Classification. CoRR abs/2010.05223 (2020) - [i5]Kushal Jain, Adwait P. Deshpande, Kumar Shridhar, Felix Laumann, Ayushman Dash:
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages. CoRR abs/2011.02323 (2020)
2010 – 2019
- 2019
- [c2]György Kovács, Vanda Balogh, Purvanshi Mehta, Kumar Shridhar, Pedro Alonso, Marcus Liwicki:
Author Profiling using Semantic and Syntactic Features. CLEF (Working Notes) 2019 - [c1]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: 1-6 - [i4]Kumar Shridhar, Felix Laumann, Marcus Liwicki:
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference. CoRR abs/1901.02731 (2019) - [i3]Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida:
ProbAct: A Probabilistic Activation Function for Deep Neural Networks. CoRR abs/1905.10761 (2019) - 2018
- [i2]Felix Laumann, Kumar Shridhar, Adrian Llopart Maurin:
Bayesian Convolutional Neural Networks. CoRR abs/1806.05978 (2018) - [i1]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 abs/1810.07150 (2018)
Coauthor Index
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last updated on 2024-04-11 20:16 CEST by the dblp team
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