Improved Document Representation for Classification Tasks for the Intelligence Community. - Özgür Yilmazel; Svetlana Symonenko; Niranjan Balasubramanian; Elizabeth D. Liddy (AAAI Spring Symposium: AI Technologies for Homeland Security, 2005)

Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content. - Özgür Yilmazel; Svetlana Symonenko; Niranjan Balasubramanian; Elizabeth D. Liddy (ISI, 2005)

Text Categorization for Aligning Educational Standards. - Özgür Yilmazel; Niranjan Balasubramanian; Sarah Harwell; Jennifer Bailey; Anne Diekema; Elizabeth D. Liddy (HICSS, 2007)

A comparison of sentence retrieval techniques. - Niranjan Balasubramanian; James Allan; W. Bruce Croft (SIGIR, 2007)

Automatic generation of topic pages using query-based aspect models. - Niranjan Balasubramanian; Silviu Cucerzan (CIKM, 2009)

Energy consumption in mobile phones: a measurement study and implications for network applications. - Niranjan Balasubramanian; Aruna Balasubramanian; Arun Venkataramani (Internet Measurement Conference, 2009)

Syntactic Query Models for Restatement Retrieval. - Niranjan Balasubramanian; James Allan (SPIRE, 2009)

Topic Pages: An Alternative to the Ten Blue Links. - Niranjan Balasubramanian; Silviu Cucerzan (ICSC, 2010)

Learning to select rankers. - Niranjan Balasubramanian; James Allan (SIGIR, 2010)

Exploring reductions for long web queries. - Niranjan Balasubramanian; Giridhar Kumaran; Vitor R. Carvalho (SIGIR, 2010)

Predicting query performance on the web. - Niranjan Balasubramanian; Giridhar Kumaran; Vitor R. Carvalho (SIGIR, 2010)

Beyond Ranked Lists in Web Search: Aggregating Web Content into Topic Pages. - Niranjan Balasubramanian; Silviu Cucerzan (Int. J. Semantic Comput., 2010)

FindAll: a local search engine for mobile phones. - Aruna Balasubramanian; Niranjan Balasubramanian; Samuel J. Huston; Donald Metzler; David Wetherall (CoNEXT, 2012)

Rel-grams: A Probabilistic Model of Relations in Text. - Niranjan Balasubramanian; Stephen Soderland; Mausam; Oren Etzioni (AKBC-WEKEX@NAACL-HLT, 2012)

Constructing a Textual KB from a Biology TextBook. - Peter Clark; Philip Harrison; Niranjan Balasubramanian; Oren Etzioni (AKBC-WEKEX@NAACL-HLT, 2012)

A study of the knowledge base requirements for passing an elementary science test. - Peter Clark; Philip Harrison; Niranjan Balasubramanian (AKBC@CIKM, 2013)

Generating Coherent Event Schemas at Scale. - Niranjan Balasubramanian; Stephen Soderland; Mausam; Oren Etzioni (EMNLP, 2013)

Exploring Markov Logic Networks for Question Answering. - Tushar Khot; Niranjan Balasubramanian; Eric Gribkoff; Ashish Sabharwal; Peter Clark; Oren Etzioni (EMNLP, 2015)

Markov Logic Networks for Natural Language Question Answering. - Tushar Khot; Niranjan Balasubramanian; Eric Gribkoff; Ashish Sabharwal; Peter Clark; Oren Etzioni (CoRR, 2015)

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 (AMIA, 2016)

What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. - Peter Jansen 001; Niranjan Balasubramanian; Mihai Surdeanu; Peter Clark (COLING, 2016)

Cross Sentence Inference for Process Knowledge. - Samuel Louvan; Chetan Naik; Sadhana Kumaravel; Heeyoung Kwon; Niranjan Balasubramanian; Peter Clark (EMNLP, 2016)

Human Centered NLP with User-Factor Adaptation. - Veronica E. Lynn; Youngseo Son; Vivek Kulkarni; Niranjan Balasubramanian; H. Andrew Schwartz (EMNLP, 2017)

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU. - Qingqing Cao; Niranjan Balasubramanian; Aruna Balasubramanian (EMDL@MobiSys, 2017)

PrIA: A Private Intelligent Assistant. - Shashank Jain; Vivek Tiwari; Aruna Balasubramanian; Niranjan Balasubramanian; Supriyo Chakraborty (HotMobile, 2017)

Event Representations With Tensor-Based Compositions. - Noah Weber; Niranjan Balasubramanian; Nathanael Chambers (AAAI, 2018)

Controlling Information Aggregation for Complex Question Answering. - Heeyoung Kwon; Harsh Trivedi; Peter Jansen 001; Mihai Surdeanu; Niranjan Balasubramanian (ECIR, 2018)

Hierarchical Quantized Representations for Script Generation. - Noah Weber; Leena Shekhar; Niranjan Balasubramanian; Nate Chambers (EMNLP, 2018)

Residualized Factor Adaptation for Community Social Media Prediction Tasks. - Mohammadzaman Zamani; H. Andrew Schwartz; Veronica E. Lynn; Salvatore Giorgi; Niranjan Balasubramanian (EMNLP, 2018)

Controlling Decoding for More Abstractive Summaries with Copy-Based Networks. - Noah Weber; Leena Shekhar; Niranjan Balasubramanian; Kyunghyun Cho (CoRR, 2018)

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models. - Noah Weber; Leena Shekhar; Niranjan Balasubramanian (CoRR, 2018)

Fake Sentence Detection as a Training Task for Sentence Encoding. - Viresh Ranjan; Heeyoung Kwon; Niranjan Balasubramanian; Minh Hoai (CoRR, 2018)

Latent Part-of-Speech Sequences for Neural Machine Translation. - Xuewen Yang; Yingru Liu; Dongliang Xie; Xin Wang 001; Niranjan Balasubramanian (EMNLP/IJCNLP (1), 2019)

DeQA: On-Device Question Answering. - Qingqing Cao; Noah Weber; Niranjan Balasubramanian; Aruna Balasubramanian (MobiSys, 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 001; Niranjan Balasubramanian (NAACL-HLT (1), 2019)

Repurposing Entailment for Multi-Hop Question Answering Tasks. - Harsh Trivedi; Heeyoung Kwon; Tushar Khot; Ashish Sabharwal; Niranjan Balasubramanian (NAACL-HLT (1), 2019)

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. - Yingru Liu; Xuewen Yang; Dongliang Xie; Xin Wang 001; Li Shen 008; Haozhi Huang 001; Niranjan Balasubramanian (AAAI, 2020)

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering. - Qingqing Cao; Harsh Trivedi; Aruna Balasubramanian; Niranjan Balasubramanian (ACL, 2020)

Modeling Label Semantics for Predicting Emotional Reactions. - Radhika Gaonkar; Heeyoung Kwon; Mohaddeseh Bastan; Niranjan Balasubramanian; Nathanael Chambers (ACL, 2020)

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention. - Veronica E. Lynn; Niranjan Balasubramanian; H. Andrew Schwartz (ACL, 2020)

Author's Sentiment Prediction. - Mohaddeseh Bastan; Mahnaz Koupaee; Youngseo Son; Richard Sicoli; Niranjan Balasubramanian (COLING, 2020)

Generating Narrative Text in a Switching Dynamical System. - Noah Weber; Leena Shekhar; Heeyoung Kwon; Niranjan Balasubramanian; Nathanael Chambers (CoNLL, 2020)

Learning Visual Emotion Representations From Web Data. - Zijun Wei; Jianming Zhang 001; Zhe Lin 001; Joon-Young Lee; Niranjan Balasubramanian; Minh Hoai; Dimitris Samaras (CVPR, 2020)

Towards Accurate and Reliable Energy Measurement of NLP Models. - Qingqing Cao; Aruna Balasubramanian; Niranjan Balasubramanian (SustaiNLP@EMNLP, 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 (EMNLP (Findings), 2020)

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning. - Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal (EMNLP (1), 2020)

Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering. - Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal (CoRR, 2020)

Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents. - Amanpreet Singh; Niranjan Balasubramanian (CoRR, 2020)

Bew: Towards Answering Business-Entity-Related Web Questions. - Qingqing Cao; Oriana Riva; Aruna Balasubramanian; Niranjan Balasubramanian (CoRR, 2020)

IrEne: Interpretable Energy Prediction for Transformers. - Qingqing Cao; Yash Kumar Lal; Harsh Trivedi; Aruna Balasubramanian; Niranjan Balasubramanian (ACL/IJCNLP (1), 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 (ACL/IJCNLP (Findings), 2021)

Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. - Mahnaz Koupaee; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (ACL/IJCNLP (2), 2021)

TellMeWhy: A Dataset for Answering Why-Questions in Narratives. - Yash Kumar Lal; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (ACL/IJCNLP (Findings), 2021)

Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. - Naoya Inoue; Harsh Trivedi; Steven Sinha; Niranjan Balasubramanian; Kentaro Inui (EMNLP (1), 2021)

IrEne-viz: Visualizing Energy Consumption of Transformer Models. - Yash Kumar Lal; Reetu Singh; Harsh Trivedi; Qingqing Cao; Aruna Balasubramanian; Niranjan Balasubramanian (EMNLP (Demos), 2021)

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. - Matthew Matero; Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz (EMNLP (Findings), 2021)

Progressive Knowledge Distillation For Early Action Recognition. - Vinh Tran 005; Niranjan Balasubramanian; Minh Hoai (ICIP, 2021)

Toward Diverse Precondition Generation. - Heeyoung Kwon; Nathanael Chambers; Niranjan Balasubramanian (*SEM, 2021)

MuSiQue: Multi-hop Questions via Single-hop Question Composition. - Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal (CoRR, 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)

From Within to Between: Knowledge Distillation for Cross Modality Retrieval. - Vinh Tran 005; Niranjan Balasubramanian; Minh Hoai (ACCV (4), 2022)

Human Language Modeling. - Nikita Soni 002; Matthew Matero; Niranjan Balasubramanian; H. Andrew Schwartz (ACL (Findings), 2022)

BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. - Mohaddeseh Bastan; Mihai Surdeanu; Niranjan Balasubramanian (EMNLP (Findings), 2022)

Using Commonsense Knowledge to Answer Why-Questions. - Yash Kumar Lal; Niket Tandon; Tanvi Aggarwal; Horace Liu; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (EMNLP, 2022)

Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts. - Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal (EMNLP, 2022)

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. - Sai Vallurupalli; Sayontan Ghosh; Katrin Erk; Niranjan Balasubramanian; Francis Ferraro (EMNLP, 2022)

Modeling Latent Dimensions of Human Beliefs. - Huy Vu; Salvatore Giorgi; Jeremy D. W. Clifton; Niranjan Balasubramanian; H. Andrew Schwartz (ICWSM, 2022)

SuMe: A Dataset Towards Summarizing Biomedical Mechanisms. - Mohaddeseh Bastan; Nishant Shankar; Mihai Surdeanu; Niranjan Balasubramanian (LREC, 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 (LREC, 2022)

Learning for Expressive Task-Related Sentence Representations. - Xueying Bai; Jinghuan Shang; Yifan Sun; Niranjan Balasubramanian (CoRR, 2022)

Teaching Broad Reasoning Skills via Decomposition-Guided Contexts. - Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal (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)

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; et al. (CoRR, 2022)

Distilling Knowledge from Language Models for Video-based Action Anticipation. - Sayontan Ghosh; Tanvi Aggarwal; Minh Hoai; Niranjan Balasubramanian (CoRR, 2022)

♫ MuSiQue: Multihop Questions via Single-hop Question Composition. - Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal (Trans. Assoc. Comput. Linguistics, 2022)

NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints. - Mohaddeseh Bastan; Mihai Surdeanu; Niranjan Balasubramanian (ACL (1), 2023)

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. - Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal (ACL (1), 2023)

Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. - Sayontan Ghosh; Tanvi Aggarwal; Minh Hoai; Niranjan Balasubramanian (EACL (Findings), 2023)

Modeling Complex Event Scenarios via Simple Entity-focused Questions. - Mahnaz Koupaee; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (EACL, 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 (EMNLP (Demos), 2023)

PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. - Sayontan Ghosh; Mahnaz Koupaee; Isabella Chen; Francis Ferraro; Nathanael Chambers; Niranjan Balasubramanian (Trans. Assoc. Comput. Linguistics, 2023)

Efficient Methods for Natural Language Processing: A Survey. - 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; et al. (Trans. Assoc. Comput. Linguistics, 2023)

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents. - Harsh Trivedi; Tushar Khot; Mareike Hartmann; Ruskin Manku; Vinty Dong; Edward Li; Shashank Gupta; Ashish Sabharwal; Niranjan Balasubramanian (ACL (1), 2024)

Look Hear: Gaze Prediction for Speech-Directed Human Attention. - Sounak Mondal; Seoyoung Ahn; Zhibo Yang 002; Niranjan Balasubramanian; Dimitris Samaras; Gregory J. Zelinsky; Minh Hoai (ECCV (42), 2024)

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. - Yash Kumar Lal; Vanya Cohen; Nathanael Chambers; Niranjan Balasubramanian; Raymond J. Mooney (EMNLP, 2024)

Large Human Language Models: A Need and the Challenges. - Nikita Soni 002; H. Andrew Schwartz; João Sedoc; Niranjan Balasubramanian (NAACL-HLT, 2024)

Continual Learning with Global Alignment. - Xueying Bai; Jinghuan Shang; Yifan Sun; Niranjan Balasubramanian (NeurIPS, 2024)

The Times They Are A-Changin': Characterizing Post-Publication Changes to Online News. - Chris Tsoukaladelis; Brian Kondracki; Niranjan Balasubramanian; Nick Nikiforakis (SP, 2024)

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? - Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz; Dirk Hovy (WASSA, 2024)

Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both? - Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz; Dirk Hovy (CoRR, 2024)

On Initializing Transformers with Pre-trained Embeddings. - Ha Young Kim; Niranjan Balasubramanian; Byungkon Kang (CoRR, 2024)

Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective. - Xueying Bai; Yifan Sun; Niranjan Balasubramanian (CoRR, 2024)

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences. - Mohammad Saqib Hasan; Saikat Chakraborty; Santu Karmaker; Niranjan Balasubramanian (ACL (1), 2025)

Causal Graph based Event Reasoning using Semantic Relation Experts. - Mahnaz Koupaee; Xueying Bai; Mudan Chen; Greg Durrett; Nathanael Chambers; Niranjan Balasubramanian (ACL (1), 2025)

Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks. - Nikita Soni 002; Pranav Chitale; Khushboo Singh; Niranjan Balasubramanian; H. Andrew Schwartz (NAACL (Findings), 2025)

DIAMONDs: A Dataset for Dynamic Information And Mental modeling Of Numeric Discussions. - Sayontan Ghosh; Mahnaz Koupaee; Yash Kumar Lal; Pegah Alipoormolabashi; Mohammad Saqib Hasan; Jun Seok Kang; Niranjan Balasubramanian (CoRR, 2025)

Quantifying Misattribution Unfairness in Authorship Attribution. - Pegah Alipoormolabashi; Ajay Patel; Niranjan Balasubramanian (CoRR, 2025)

MuSciClaims: Multimodal Scientific Claim Verification. - Yash Kumar Lal; Manikanta Bandham; Mohammad Saqib Hasan; Apoorva Kashi; Mahnaz Koupaee; Niranjan Balasubramanian (CoRR, 2025)