Niranjan Balasubramanian

According to our database1, Niranjan Balasubramanian authored at least 91 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective.
CoRR, 2024

On Initializing Transformers with Pre-trained Embeddings.
CoRR, 2024

Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both?
CoRR, 2024

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

The Times They Are A-Changin': Characterizing Post-Publication Changes to Online News.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Large Human Language Models: A Need and the Challenges.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Look Hear: Gaze Prediction for Speech-Directed Human Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Efficient Methods for Natural Language Processing: A Survey.
Trans. Assoc. Comput. Linguistics, 2023

<tt>PASTA</tt>: A Dataset for Modeling PArticipant STAtes in Narratives.
Trans. Assoc. Comput. Linguistics, 2023

SAGEViz: SchemA GEneration and Visualization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling Complex Event Scenarios via Simple Entity-focused Questions.
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.
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.
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.
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.
Trans. Assoc. Comput. Linguistics, 2022

Distilling Knowledge from Language Models for Video-based Action Anticipation.
CoRR, 2022

Efficient Methods for Natural Language Processing: A Survey.
CoRR, 2022

PASTA: A Dataset for Modeling Participant States in Narratives.
CoRR, 2022

Teaching Broad Reasoning Skills via Decomposition-Guided Contexts.
CoRR, 2022

Learning for Expressive Task-Related Sentence Representations.
CoRR, 2022

SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

SuMe: A Dataset Towards Summarizing Biomedical Mechanisms.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Modeling Latent Dimensions of Human Beliefs.
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.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Using Commonsense Knowledge to Answer Why-Questions.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Human Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

From Within to Between: Knowledge Distillation for Cross Modality Retrieval.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System.
Proc. VLDB Endow., 2021

MuSiQue: Multi-hop Questions via Single-hop Question Composition.
CoRR, 2021

Toward Diverse Precondition Generation.
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

Progressive Knowledge Distillation For Early Action Recognition.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

IrEne-viz: Visualizing Energy Consumption of Transformer Models.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TellMeWhy: A Dataset for Answering Why-Questions in Narratives.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

IrEne: Interpretable Energy Prediction for Transformers.
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.
CoRR, 2020

Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents.
CoRR, 2020

Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering.
CoRR, 2020

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Modeling Preconditions in Text with a Crowd-sourced Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Accurate and Reliable Energy Measurement of NLP Models.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Learning Visual Emotion Representations From Web Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generating Narrative Text in a Switching Dynamical System.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Author's Sentiment Prediction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Modeling Label Semantics for Predicting Emotional Reactions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Repurposing Entailment for Multi-Hop Question Answering Tasks.
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.
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.
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Latent Part-of-Speech Sequences for Neural Machine Translation.
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.
CoRR, 2018

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models.
CoRR, 2018

Controlling Decoding for More Abstractive Summaries with Copy-Based Networks.
CoRR, 2018

Residualized Factor Adaptation for Community Social Media Prediction Tasks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical Quantized Representations for Script Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Controlling Information Aggregation for Complex Question Answering.
Proceedings of the Advances in Information Retrieval, 2018

Event Representations With Tensor-Based Compositions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
PrIA: A Private Intelligent Assistant.
Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, 2017

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU.
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.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Cross Sentence Inference for Process Knowledge.
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.
Proceedings of the COLING 2016, 2016

POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports.
Proceedings of the AMIA 2016, 2016

2015
Markov Logic Networks for Natural Language Question Answering.
CoRR, 2015

Exploring Markov Logic Networks for Question Answering.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013
Generating Coherent Event Schemas at Scale.
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.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

2012
Constructing a Textual KB from a Biology TextBook.
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.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

FindAll: a local search engine for mobile phones.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2012

2010
Beyond Ranked Lists in Web Search: Aggregating Web Content into Topic Pages.
Int. J. Semantic Comput., 2010

Predicting query performance on the web.
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.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Learning to select rankers.
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.
Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

2009
Syntactic Query Models for Restatement Retrieval.
Proceedings of the String Processing and Information Retrieval, 2009

Energy consumption in mobile phones: a measurement study and implications for network applications.
Proceedings of the 9th ACM SIGCOMM Internet Measurement Conference, IMC 2009, Chicago, 2009

Automatic generation of topic pages using query-based aspect models.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007
A comparison of sentence retrieval techniques.
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.
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.
Proceedings of the Intelligence and Security Informatics, 2005

Improved Document Representation for Classification Tasks for the Intelligence Community.
Proceedings of the AI Technologies for Homeland Security, 2005


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