Niranjan Balasubramanian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
74
Venues
26
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*EMNLP20 papers
- A*ACL14 papers
- ANAACL6 papers
- A*SIGIR4 papers
- BCoNLL2 papers
- BIJCNLP2 papers
- AEACL2 papers
- BLREC2 papers
- A*AAAI2 papers
- BCOLING2 papers
- AMobisys2 papers
- ACIKM2 papers
- AFPGA1 paper
- A*ISMAR1 paper
- A*ECCV1 paper
- A*SP1 paper
- BACCV1 paper
- AICWSM1 paper
- BICIP1 paper
- A*CVPR1 paper
- AECIR1 paper
- NationalAMIA1 paper
- ACoNEXT1 paper
- AIMC1 paper
- CSPIRE1 paper
- CISI1 paper
Papers
74 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CoNLL | Addressing the Ecological Fallacy in Larger LMs with Human Context. | Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, Dikshya Mohanty, H. Andrew Schwartz, Niranjan Balasubramanian |
| 2026 | FPGA | Enabling Efficient SpMM for Sparse Attention on GEMM-Optimized Hardware with Block Aggregation. | Tianchu Ji, Niranjan Balasubramanian, Michael Ferdman, Peter A. Milder |
| 2025 | ACL | Quantifying Misattribution Unfairness in Authorship Attribution. | Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian |
| 2025 | ACL | Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences. | Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian |
| 2025 | ACL | Causal Graph based Event Reasoning using Semantic Relation Experts. | Mahnaz Koupaee, Xueying Bai, Mudan Chen, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian |
| 2025 | EMNLP | Residualized Similarity for Faithfully Explainable Authorship Verification. | Peter Zeng, Pegah Alipoormolabashi, Jihu Mun, Gourab Dey, Nikita Soni, Niranjan Balasubramanian, Owen Rambow, H. Andrew Schwartz |
| 2025 | IJCNLP | ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models. | Biddut Sarker Bijoy, Mohammad Saqib Hasan, Pegah Alipoormolabashi, Avirup Sil, Aruna Balasubramanian, Niranjan Balasubramanian |
| 2025 | IJCNLP | MuSciClaims: Multimodal Scientific Claim Verification. | Yash Kumar Lal, Manikanta Bandham, Mohammad Saqib Hasan, Apoorva Kashi, Mahnaz Koupaee, Niranjan Balasubramanian |
| 2025 | ISMAR | Artspeak: An Interactive AR Application for Lifelike Speaking with Art Portraits. | Shubhangi S. R. Garnaik, Aruna Balasubramanian, Niranjan Balasubramanian, Jihoon Ryoo |
| 2025 | NAACL | Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks. | Nikita Soni, Pranav Chitale, Khushboo Singh, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2024 | ACL | 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 |
| 2024 | ECCV | Look Hear: Gaze Prediction for Speech-Directed Human Attention. | Sounak Mondal, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | Large Human Language Models: A Need and the Challenges. | Nikita Soni, H. Andrew Schwartz, Joo Sedoc, Niranjan Balasubramanian |
| 2024 | SP | The Times They Are A-Changin': Characterizing Post-Publication Changes to Online News. | Chris Tsoukaladelis, Brian Kondracki, Niranjan Balasubramanian, Nick Nikiforakis |
| 2023 | ACL | NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints. | Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian |
| 2023 | ACL | Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. | Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal |
| 2023 | EACL | Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. | Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian |
| 2023 | EACL | Modeling Complex Event Scenarios via Simple Entity-focused Questions. | Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian |
| 2023 | EMNLP | 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 |
| 2022 | ACCV | From Within to Between: Knowledge Distillation for Cross Modality Retrieval. | Vinh Tran, Niranjan Balasubramanian, Minh Hoai |
| 2022 | ACL | Human Language Modeling. | Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2022 | EMNLP | BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. | Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian |
| 2022 | EMNLP | Using Commonsense Knowledge to Answer Why-Questions. | Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian |
| 2022 | EMNLP | Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts. | Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal |
| 2022 | EMNLP | POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. | Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro |
| 2022 | ICWSM | Modeling Latent Dimensions of Human Beliefs. | Huy Vu, Salvatore Giorgi, Jeremy D. W. Clifton, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2022 | LREC | SuMe: A Dataset Towards Summarizing Biomedical Mechanisms. | Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian |
| 2022 | LREC | 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 |
| 2021 | ACL | IrEne: Interpretable Energy Prediction for Transformers. | Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian |
| 2021 | ACL | 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 |
| 2021 | ACL | Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. | Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian |
| 2021 | ACL | TellMeWhy: A Dataset for Answering Why-Questions in Narratives. | Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian |
| 2021 | EMNLP | Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. | Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui |
| 2021 | EMNLP | IrEne-viz: Visualizing Energy Consumption of Transformer Models. | Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian |
| 2021 | EMNLP | MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. | Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2021 | ICIP | Progressive Knowledge Distillation For Early Action Recognition. | Vinh Tran, Niranjan Balasubramanian, Minh Hoai |
| 2020 | AAAI | 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 |
| 2020 | ACL | DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering. | Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian |
| 2020 | ACL | Modeling Label Semantics for Predicting Emotional Reactions. | Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers |
| 2020 | ACL | Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention. | Veronica E. Lynn, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2020 | COLING | Author's Sentiment Prediction. | Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian |
| 2020 | CoNLL | Generating Narrative Text in a Switching Dynamical System. | Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers |
| 2020 | CVPR | Learning Visual Emotion Representations From Web Data. | Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras |
| 2020 | EMNLP | Towards Accurate and Reliable Energy Measurement of NLP Models. | Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning. | Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal |
| 2019 | EMNLP | Latent Part-of-Speech Sequences for Neural Machine Translation. | Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian |
| 2019 | Mobisys | DeQA: On-Device Question Answering. | Qingqing Cao, Noah Weber, Niranjan Balasubramanian, Aruna Balasubramanian |
| 2019 | NAACL | 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 |
| 2019 | NAACL | Repurposing Entailment for Multi-Hop Question Answering Tasks. | Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian |
| 2018 | AAAI | Event Representations With Tensor-Based Compositions. | Noah Weber, Niranjan Balasubramanian, Nathanael Chambers |
| 2018 | ECIR | Controlling Information Aggregation for Complex Question Answering. | Heeyoung Kwon, Harsh Trivedi, Peter Jansen, Mihai Surdeanu, Niranjan Balasubramanian |
| 2018 | EMNLP | Hierarchical Quantized Representations for Script Generation. | Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nate Chambers |
| 2018 | EMNLP | Residualized Factor Adaptation for Community Social Media Prediction Tasks. | Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian |
| 2017 | EMNLP | Human Centered NLP with User-Factor Adaptation. | Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2017 | Mobisys | MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU. | Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian |
| 2016 | AMIA | POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports. | Veronica E. Lynn, Niranjan Balasubramanian, Tahsin M. Kur, Joel H. Saltz, Rebecca Jacobson |
| 2016 | COLING | What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. | Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark |
| 2016 | EMNLP | Cross Sentence Inference for Process Knowledge. | Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark |
| 2015 | EMNLP | Exploring Markov Logic Networks for Question Answering. | Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni |
| 2013 | CIKM | A study of the knowledge base requirements for passing an elementary science test. | Peter Clark, Philip Harrison, Niranjan Balasubramanian |
| 2013 | EMNLP | Generating Coherent Event Schemas at Scale. | Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni |
| 2012 | CoNEXT | FindAll: a local search engine for mobile phones. | Aruna Balasubramanian, Niranjan Balasubramanian, Samuel J. Huston, Donald Metzler, David Wetherall |
| 2012 | NAACL | Rel-grams: A Probabilistic Model of Relations in Text. | Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni |
| 2012 | NAACL | Constructing a Textual KB from a Biology TextBook. | Peter Clark, Philip Harrison, Niranjan Balasubramanian, Oren Etzioni |
| 2010 | SIGIR | Learning to select rankers. | Niranjan Balasubramanian, James Allan |
| 2010 | SIGIR | Exploring reductions for long web queries. | Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho |
| 2010 | SIGIR | Predicting query performance on the web. | Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho |
| 2009 | CIKM | Automatic generation of topic pages using query-based aspect models. | Niranjan Balasubramanian, Silviu Cucerzan |
| 2009 | IMC | Energy consumption in mobile phones: a measurement study and implications for network applications. | Niranjan Balasubramanian, Aruna Balasubramanian, Arun Venkataramani |
| 2009 | SPIRE | Syntactic Query Models for Restatement Retrieval. | Niranjan Balasubramanian, James Allan |
| 2007 | SIGIR | A comparison of sentence retrieval techniques. | Niranjan Balasubramanian, James Allan, W. Bruce Croft |
| 2005 | ISI | Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content. | zgr Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, Elizabeth D. Liddy |