Niranjan Balasubramanian

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 97

Top Venues

CoRR

EMNLP

ACL

EMNLP (Findings)

Publications

Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents. CoRR (2024)
Ha Young Kim, Niranjan Balasubramanian, Byungkon Kang
On Initializing Transformers with Pre-trained Embeddings. CoRR (2024)
Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy
Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both? CoRR (2024)
Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian
Large Human Language Models: A Need and the Challenges. NAACL-HLT (2024)
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. CoRR (2024)
Sounak Mondal, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai
Look Hear: Gaze Prediction for Speech-directed Human Attention. CoRR (2024)
Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11 (2023)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. ACL (1) (2023)
Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. Trans. Assoc. Comput. Linguistics 11 (2023)
Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian
Large Human Language Models: A Need and the Challenges. CoRR (2023)
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
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) (2023)
Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian
Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. EACL (Findings) (2023)
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints. ACL (1) (2023)
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
Modeling Complex Event Scenarios via Simple Entity-focused Questions. EACL (2023)
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
Modeling Complex Event Scenarios via Simple Entity-focused Questions. CoRR (2023)
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. EMNLP (Findings) (2022)
Sayontan Ghosh, Amanpreet Singh, Alex Merenstein, Wei Su, Scott A. Smolka, Erez Zadok, Niranjan Balasubramanian
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications. LREC (2022)
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz
Human Language Modeling. ACL (Findings) (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
♫ MuSiQue: Multihop Questions via Single-hop Question Composition. Trans. Assoc. Comput. Linguistics 10 (2022)
Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian
PASTA: A Dataset for Modeling Participant States in Narratives. CoRR (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts. EMNLP (2022)
Vinh Tran, Niranjan Balasubramanian, Minh Hoai
From Within to Between: Knowledge Distillation for Cross Modality Retrieval. ACCV (4) (2022)
Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. CoRR (2022)
Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
Using Commonsense Knowledge to Answer Why-Questions. EMNLP (2022)
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz
Human Language Modeling. CoRR (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. CoRR (2022)
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. CoRR (2022)
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
Efficient Methods for Natural Language Processing: A Survey. CoRR (2022)
Huy Vu, Salvatore Giorgi, Jeremy D. W. Clifton, Niranjan Balasubramanian, H. Andrew Schwartz
Modeling Latent Dimensions of Human Beliefs. ICWSM (2022)
Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian
Distilling Knowledge from Language Models for Video-based Action Anticipation. CoRR (2022)
Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms. LREC (2022)
Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
Learning for Expressive Task-Related Sentence Representations. CoRR (2022)
Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. EMNLP (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Teaching Broad Reasoning Skills via Decomposition-Guided Contexts. CoRR (2022)
Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms. CoRR (2022)
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
IrEne: Interpretable Energy Prediction for Transformers. CoRR (2021)
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. CoRR (2021)
Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
Toward Diverse Precondition Generation. *SEM (2021)
Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. CoRR (2021)
Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. EMNLP (Findings) (2021)
Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, Niranjan Balasubramanian
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System. Proc. VLDB Endow. 15 (4) (2021)
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
IrEne: Interpretable Energy Prediction for Transformers. ACL/IJCNLP (1) (2021)
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. CoRR (2021)
Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. CoRR (2021)
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. EMNLP (1) (2021)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
MuSiQue: Multi-hop Questions via Single-hop Question Composition. CoRR (2021)
Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
Toward Diverse Precondition Generation. CoRR (2021)
Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
IrEne-viz: Visualizing Energy Consumption of Transformer Models. EMNLP (Demos) (2021)
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. ACL/IJCNLP (2) (2021)
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. ACL/IJCNLP (Findings) (2021)
Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. ACL/IJCNLP (Findings) (2021)
Vinh Tran, Niranjan Balasubramanian, Minh Hoai
Progressive Knowledge Distillation For Early Action Recognition. ICIP (2021)
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. AAAI (2020)
Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers
Generating Narrative Text in a Switching Dynamical System. CoNLL (2020)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering. CoRR (2020)
Veronica E. Lynn, Niranjan Balasubramanian, H. Andrew Schwartz
Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention. ACL (2020)
Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras
Learning Visual Emotion Representations From Web Data. CVPR (2020)
Qingqing Cao, Oriana Riva, Aruna Balasubramanian, Niranjan Balasubramanian
Bew: Towards Answering Business-Entity-Related Web Questions. CoRR (2020)
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian
Modeling Preconditions in Text with a Crowd-sourced Dataset. EMNLP (Findings) (2020)
Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering. CoRR (2020)
Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, Niranjan Balasubramanian
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System. CoRR (2020)
Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering. ACL (2020)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning. EMNLP (1) (2020)
Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian
Author's Sentiment Prediction. CoRR (2020)
Amanpreet Singh, Niranjan Balasubramanian
Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents. CoRR (2020)
Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
Towards Accurate and Reliable Energy Measurement of NLP Models. CoRR (2020)
Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers
Generating Narrative Text in a Switching Dynamical System. CoRR (2020)
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers
Modeling Label Semantics for Predicting Emotional Reactions. ACL (2020)
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian
Modeling Preconditions in Text with a Crowd-sourced Dataset. CoRR (2020)
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers
Modeling Label Semantics for Predicting Emotional Reactions. CoRR (2020)
Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
Towards Accurate and Reliable Energy Measurement of NLP Models. SustaiNLP@EMNLP (2020)
Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian
Author's Sentiment Prediction. COLING (2020)
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
Repurposing Entailment for Multi-Hop Question Answering Tasks. CoRR (2019)
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
PoMo: Generating Entity-Specific Post-Modifiers in Context. CoRR (2019)
Qingqing Cao, Noah Weber, Niranjan Balasubramanian, Aruna Balasubramanian
DeQA: On-Device Question Answering. MobiSys (2019)
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
Repurposing Entailment for Multi-Hop Question Answering Tasks. NAACL-HLT (1) (2019)
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian
Latent Part-of-Speech Sequences for Neural Machine Translation. EMNLP/IJCNLP (1) (2019)
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. CoRR (2019)
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
PoMo: Generating Entity-Specific Post-Modifiers in Context. NAACL-HLT (1) (2019)
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian
Latent Part-of-Speech Sequences for Neural Machine Translation. CoRR (2019)
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian
Residualized Factor Adaptation for Community Social Media Prediction Tasks. CoRR (2018)
Noah Weber, Leena Shekhar, Niranjan Balasubramanian
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models. CoRR (2018)
Noah Weber, Niranjan Balasubramanian, Nathanael Chambers
Event Representations With Tensor-Based Compositions. AAAI (2018)
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian
Residualized Factor Adaptation for Community Social Media Prediction Tasks. EMNLP (2018)
Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nathanael Chambers
Hierarchical Quantized Representations for Script Generation. CoRR (2018)
Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nate Chambers
Hierarchical Quantized Representations for Script Generation. EMNLP (2018)
Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Kyunghyun Cho
Controlling Decoding for More Abstractive Summaries with Copy-Based Networks. CoRR (2018)
Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian, Minh Hoai
Fake Sentence Detection as a Training Task for Sentence Encoding. CoRR (2018)
Heeyoung Kwon, Harsh Trivedi, Peter Jansen, Mihai Surdeanu, Niranjan Balasubramanian
Controlling Information Aggregation for Complex Question Answering. ECIR (2018)
Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz
Human Centered NLP with User-Factor Adaptation. EMNLP (2017)
Shashank Jain, Vivek Tiwari, Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty
PrIA: A Private Intelligent Assistant. HotMobile (2017)
Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU. EMDL@MobiSys (2017)
Noah Weber, Niranjan Balasubramanian, Nathanael Chambers
Event Representations with Tensor-based Compositions. CoRR (2017)
Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU. CoRR (2017)
Veronica E. Lynn, Niranjan Balasubramanian, Tahsin M. Kurç, Joel H. Saltz, Rebecca Jacobson
POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports. AMIA (2016)
Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark
What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. COLING (2016)
Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark
Cross Sentence Inference for Process Knowledge. EMNLP (2016)
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
Markov Logic Networks for Natural Language Question Answering. CoRR (2015)
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
Exploring Markov Logic Networks for Question Answering. EMNLP (2015)
Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni
Generating Coherent Event Schemas at Scale. EMNLP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Niranjan Balasubramanian