Niranjan Balasubramanian

According to our database, Niranjan Balasubramanian authored at least 82 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both?

Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy

CoRR, 2024

2023

Large Human Language Models: A Need and the Challenges.

Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian

CoRR, 2023

SAGEViz: SchemA GEneration and Visualization.

Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling Complex Event Scenarios via Simple Entity-focused Questions.

Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation.

Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints.

Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

♫ MuSiQue: Multihop Questions via Single-hop Question Composition.

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

Trans. Assoc. Comput. Linguistics, 2022

Distilling Knowledge from Language Models for Video-based Action Anticipation.

Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian

CoRR, 2022

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz

CoRR, 2022

PASTA: A Dataset for Modeling Participant States in Narratives.

Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian

CoRR, 2022

Teaching Broad Reasoning Skills via Decomposition-Guided Contexts.

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

CoRR, 2022

Learning for Expressive Task-Related Sentence Representations.

Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian

CoRR, 2022

SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications.

Sayontan Ghosh, Amanpreet Singh, Alex Merenstein, Wei Su, Scott A. Smolka, Erez Zadok, Niranjan Balasubramanian

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

SuMe: A Dataset Towards Summarizing Biomedical Mechanisms.

Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Modeling Latent Dimensions of Human Beliefs.

Huy Vu, Salvatore Giorgi, Jeremy D. W. Clifton, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events.

Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts.

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Using Commonsense Knowledge to Answer Why-Questions.

Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples.

Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Human Language Modeling.

Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

From Within to Between: Knowledge Distillation for Cross Modality Retrieval.

Vinh Tran, Niranjan Balasubramanian, Minh Hoai

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System.

Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, Niranjan Balasubramanian

Proc. VLDB Endow., 2021

MuSiQue: Multi-hop Questions via Single-hop Question Composition.

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

CoRR, 2021

Toward Diverse Precondition Generation.

Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

Progressive Knowledge Distillation For Early Action Recognition.

Vinh Tran, Niranjan Balasubramanian, Minh Hoai

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection.

Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

IrEne-viz: Visualizing Energy Consumption of Transformer Models.

Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension.

Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TellMeWhy: A Dataset for Answering Why-Questions in Narratives.

Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models.

Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers.

Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

IrEne: Interpretable Energy Prediction for Transformers.

Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Bew: Towards Answering Business-Entity-Related Web Questions.

Qingqing Cao, Oriana Riva, Aruna Balasubramanian, Niranjan Balasubramanian

CoRR, 2020

Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents.

Amanpreet Singh, Niranjan Balasubramanian

CoRR, 2020

Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering.

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

CoRR, 2020

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning.

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Modeling Preconditions in Text with a Crowd-sourced Dataset.

Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Accurate and Reliable Energy Measurement of NLP Models.

Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Learning Visual Emotion Representations From Web Data.

Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generating Narrative Text in a Switching Dynamical System.

Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Author's Sentiment Prediction.

Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention.

Veronica E. Lynn, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Modeling Label Semantics for Predicting Emotional Reactions.

Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering.

Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning.

Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Repurposing Entailment for Multi-Hop Question Answering Tasks.

Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

PoMo: Generating Entity-Specific Post-Modifiers in Context.

Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DeQA: On-Device Question Answering.

Qingqing Cao, Noah Weber, Niranjan Balasubramanian, Aruna Balasubramanian

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Latent Part-of-Speech Sequences for Neural Machine Translation.

Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Fake Sentence Detection as a Training Task for Sentence Encoding.

Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian, Minh Hoai

CoRR, 2018

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models.

Noah Weber, Leena Shekhar, Niranjan Balasubramanian

CoRR, 2018

Controlling Decoding for More Abstractive Summaries with Copy-Based Networks.

Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Kyunghyun Cho

CoRR, 2018

Residualized Factor Adaptation for Community Social Media Prediction Tasks.

Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical Quantized Representations for Script Generation.

Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nate Chambers

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Controlling Information Aggregation for Complex Question Answering.

Heeyoung Kwon, Harsh Trivedi, Peter Jansen, Mihai Surdeanu, Niranjan Balasubramanian

Proceedings of the Advances in Information Retrieval, 2018

Event Representations With Tensor-Based Compositions.

Noah Weber, Niranjan Balasubramanian, Nathanael Chambers

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

PrIA: A Private Intelligent Assistant.

Shashank Jain, Vivek Tiwari, Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, 2017

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU.

Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian

Proceedings of the 1st International Workshop on Embedded and Mobile Deep Learning (Deep Learning for Mobile Systems and Applications), 2017

Human Centered NLP with User-Factor Adaptation.

Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Cross Sentence Inference for Process Knowledge.

Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams.

Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark

Proceedings of the COLING 2016, 2016

POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports.

Veronica E. Lynn, Niranjan Balasubramanian, Tahsin M. Kurç, Joel H. Saltz, Rebecca Jacobson

Proceedings of the AMIA 2016, 2016

2015

Markov Logic Networks for Natural Language Question Answering.

Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni

CoRR, 2015

Exploring Markov Logic Networks for Question Answering.

Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013

Generating Coherent Event Schemas at Scale.

Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A study of the knowledge base requirements for passing an elementary science test.

Peter Clark, Philip Harrison, Niranjan Balasubramanian

Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

2012

Constructing a Textual KB from a Biology TextBook.

Peter Clark, Philip Harrison, Niranjan Balasubramanian, Oren Etzioni

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Rel-grams: A Probabilistic Model of Relations in Text.

Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

FindAll: a local search engine for mobile phones.

Aruna Balasubramanian, Niranjan Balasubramanian, Samuel J. Huston, Donald Metzler, David Wetherall

Proceedings of the Conference on emerging Networking Experiments and Technologies, 2012

2010

Beyond Ranked Lists in Web Search: Aggregating Web Content into Topic Pages.

Niranjan Balasubramanian, Silviu Cucerzan

Int. J. Semantic Comput., 2010

Predicting query performance on the web.

Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Exploring reductions for long web queries.

Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Learning to select rankers.

Niranjan Balasubramanian, James Allan

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Topic Pages: An Alternative to the Ten Blue Links.

Niranjan Balasubramanian, Silviu Cucerzan

Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

2009

Syntactic Query Models for Restatement Retrieval.

Niranjan Balasubramanian, James Allan

Proceedings of the String Processing and Information Retrieval, 2009

Energy consumption in mobile phones: a measurement study and implications for network applications.

Niranjan Balasubramanian, Aruna Balasubramanian, Arun Venkataramani

Proceedings of the 9th ACM SIGCOMM Internet Measurement Conference, IMC 2009, Chicago, 2009

Automatic generation of topic pages using query-based aspect models.

Niranjan Balasubramanian, Silviu Cucerzan

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007

A comparison of sentence retrieval techniques.

Niranjan Balasubramanian, James Allan, W. Bruce Croft

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Text Categorization for Aligning Educational Standards.

Özgür Yilmazel, Niranjan Balasubramanian, Sarah Harwell, Jennifer Bailey, Anne Diekema, Elizabeth D. Liddy

Proceedings of the 40th Hawaii International International Conference on Systems Science (HICSS-40 2007), 2007

2005

Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content.

Özgür Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, Elizabeth D. Liddy

Proceedings of the Intelligence and Security Informatics, 2005

Improved Document Representation for Classification Tasks for the Intelligence Community.

Özgür Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, Elizabeth D. Liddy

Proceedings of the AI Technologies for Homeland Security, 2005