Niranjan Balasubramanian

144 papers A* 23A 8B 6C 2Misc 2Journal 64Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
Addressing the Ecological Fallacy in Larger LMs with Human Context.
CoRR
Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, Dikshya Mohanty, H. Andrew Schwartz, Niranjan Balasubramanian
2026 A conf
Enabling Efficient SpMM for Sparse Attention on GEMM-Optimized Hardware with Block Aggregation.
FPGA
Tianchu Ji, Niranjan Balasubramanian, Michael Ferdman, Peter A. Milder
2026 J jnl
Teaching and Evaluating LLMs to Reason About Polymer Design Related Tasks.
CoRR
Dikshya Mohanty, Mohammad Saqib Hasan, Syed Mostofa Monsur, Size Zheng, Benjamin Hsiao, Niranjan Balasubramanian
2025 A* conf
Artspeak: An Interactive AR Application for Lifelike Speaking with Art Portraits.
ISMAR
Shubhangi S. R. Garnaik, Aruna Balasubramanian, Niranjan Balasubramanian, Jihoon Ryoo
2025 — conf
Causal Graph based Event Reasoning using Semantic Relation Experts.
ACL (1)
Mahnaz Koupaee, Xueying Bai, Mudan Chen, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2025 J jnl
Causal Graph based Event Reasoning using Semantic Relation Experts.
CoRR
Mahnaz Koupaee, Xueying Bai, Mudan Chen, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2025 J jnl
DIAMONDs: A Dataset for
CoRR
Sayontan Ghosh, Mahnaz Koupaee, Yash Kumar Lal, Pegah Alipoormolabashi, Mohammad Saqib Hasan, Jun Seok Kang, Niranjan Balasubramanian
2025 — conf
Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks.
NAACL (Findings)
Nikita Soni, Pranav Chitale, Khushboo Singh, Niranjan Balasubramanian, H. Andrew Schwartz
2025 J jnl
Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks.
CoRR
Nikita Soni, Pranav Chitale, Khushboo Singh, Niranjan Balasubramanian, H. Andrew Schwartz
2025 J jnl
Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P.
CoRR
Anurag Dutt, Young Won Choi, Avirup Sil, Anshul Gandhi, Aruna Balasubramanian, Niranjan Balasubramanian
2025 J jnl
Handling Open-Vocabulary Constructs in Formalizing Specifications: Retrieval-Augmented Parsing with Expert Knowledge.
CoRR
Mohammad Saqib Hasan, Sayontan Ghosh, Dhruv Verma, Geoff Kuenning, Erez Zadok, Scott A. Smolka, Niranjan Balasubramanian
2025 — conf
MuSciClaims: Multimodal Scientific Claim Verification.
IJCNLP-AACL (long papers)
Yash Kumar Lal, Manikanta Bandham, Mohammad Saqib Hasan, Apoorva Kashi, Mahnaz Koupaee, Niranjan Balasubramanian
2025 J jnl
MuSciClaims: Multimodal Scientific Claim Verification.
CoRR
Yash Kumar Lal, Manikanta Bandham, Mohammad Saqib Hasan, Apoorva Kashi, Mahnaz Koupaee, Niranjan Balasubramanian
2025 — conf
ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models.
IJCNLP-AACL (long papers)
Biddut Sarker Bijoy, Mohammad Saqib Hasan, Pegah Alipoormolabashi, Avirup Sil, Aruna Balasubramanian, Niranjan Balasubramanian
2025 J jnl
ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models.
CoRR
Biddut Sarker Bijoy, Mohammad Saqib Hasan, Pegah Alipoormolabashi, Avirup Sil, Aruna Balasubramanian, Niranjan Balasubramanian
2025 — conf
Quantifying Misattribution Unfairness in Authorship Attribution.
ACL (2)
Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian
2025 J jnl
Quantifying Misattribution Unfairness in Authorship Attribution.
CoRR
Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian
2025 — conf
Residualized Similarity for Faithfully Explainable Authorship Verification.
EMNLP (Findings)
Peter Zeng, Pegah Alipoormolabashi, Jihu Mun, Gourab Dey, Nikita Soni, Niranjan Balasubramanian, Owen Rambow, H. Andrew Schwartz
2025 J jnl
Residualized Similarity for Faithfully Explainable Authorship Verification.
CoRR
Peter Zeng, Pegah Alipoormolabashi, Jihu Mun, Gourab Dey, Nikita Soni, Niranjan Balasubramanian, Owen Rambow, H. Andrew Schwartz
2025 — conf
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences.
ACL (1)
Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian
2025 J jnl
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences.
CoRR
Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian
2024 — conf
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.
ACL (1)
Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian
2024 J jnl
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.
CoRR
Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian
2024 J jnl
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans.
CoRR
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney
2024 A* conf
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans.
EMNLP
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond J. Mooney
2024 J jnl
Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both?
CoRR
Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy
2024 — conf
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
WASSA
Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy
2024 A* conf
Continual Learning with Global Alignment.
NeurIPS
Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
2024 J jnl
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective.
CoRR
Xueying Bai, Yifan Sun, Niranjan Balasubramanian
2024 — conf
Large Human Language Models: A Need and the Challenges.
NAACL-HLT
Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian
2024 — conf
Look Hear: Gaze Prediction for Speech-Directed Human Attention.
ECCV (42)
Sounak Mondal, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai
2024 J jnl
Look Hear: Gaze Prediction for Speech-directed Human Attention.
CoRR
Sounak Mondal, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai
2024 J jnl
On Initializing Transformers with Pre-trained Embeddings.
CoRR
Ha Young Kim, Niranjan Balasubramanian, Byungkon Kang
2024 A* conf
The Times They Are A-Changin': Characterizing Post-Publication Changes to Online News.
SP
Chris Tsoukaladelis, Brian Kondracki, Niranjan Balasubramanian, Nick Nikiforakis
2023 J jnl
<tt>PASTA</tt>: A Dataset for Modeling PArticipant STAtes in Narratives.
Trans. Assoc. Comput. Linguistics
Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian
2023 J jnl
Efficient Methods for Natural Language Processing: A Survey.
Trans. Assoc. Comput. Linguistics
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
2023 — conf
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.
ACL (1)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2023 J jnl
Large Human Language Models: A Need and the Challenges.
CoRR
Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian
2023 A conf
Modeling Complex Event Scenarios via Simple Entity-focused Questions.
EACL
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2023 J jnl
Modeling Complex Event Scenarios via Simple Entity-focused Questions.
CoRR
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2023 — conf
NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints.
ACL (1)
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
2023 — conf
SAGEViz: SchemA GEneration and Visualization.
EMNLP (Demos)
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
2023 — conf
Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation.
EACL (Findings)
Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian
2022 — conf
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples.
EMNLP (Findings)
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
2022 J jnl
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples.
CoRR
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian
2022 J jnl
Distilling Knowledge from Language Models for Video-based Action Anticipation.
CoRR
Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian
2022 J jnl
Efficient Methods for Natural Language Processing: A Survey.
CoRR
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
2022 — conf
From Within to Between: Knowledge Distillation for Cross Modality Retrieval.
ACCV (4)
Vinh Tran, Niranjan Balasubramanian, Minh Hoai
2022 — conf
Human Language Modeling.
ACL (Findings)
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz
2022 J jnl
Human Language Modeling.
CoRR
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz
2022 J jnl
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.
CoRR
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2022 J jnl
Learning for Expressive Task-Related Sentence Representations.
CoRR
Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
2022 A conf
Modeling Latent Dimensions of Human Beliefs.
ICWSM
Huy Vu, Salvatore Giorgi, Jeremy D. W. Clifton, Niranjan Balasubramanian, H. Andrew Schwartz
2022 J jnl
PASTA: A Dataset for Modeling Participant States in Narratives.
CoRR
Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian
2022 A* conf
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events.
EMNLP
Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro
2022 J jnl
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events.
CoRR
Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro
2022 B conf
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications.
LREC
Sayontan Ghosh, Amanpreet Singh, Alex Merenstein, Wei Su, Scott A. Smolka, Erez Zadok, Niranjan Balasubramanian
2022 B conf
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms.
LREC
Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian
2022 J jnl
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms.
CoRR
Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian
2022 A* conf
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts.
EMNLP
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2022 J jnl
Teaching Broad Reasoning Skills via Decomposition-Guided Contexts.
CoRR
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2022 A* conf
Using Commonsense Knowledge to Answer Why-Questions.
EMNLP
Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2022 J jnl
♫ MuSiQue: Multihop Questions via Single-hop Question Composition.
Trans. Assoc. Comput. Linguistics
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2021 — conf
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models.
ACL/IJCNLP (2)
Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian
2021 — conf
IrEne-viz: Visualizing Energy Consumption of Transformer Models.
EMNLP (Demos)
Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
2021 — conf
IrEne: Interpretable Energy Prediction for Transformers.
ACL/IJCNLP (1)
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
2021 J jnl
IrEne: Interpretable Energy Prediction for Transformers.
CoRR
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
2021 J jnl
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System.
Proc. VLDB Endow.
Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, Niranjan Balasubramanian
2021 — conf
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection.
EMNLP (Findings)
Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz
2021 J jnl
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection.
CoRR
Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz
2021 J jnl
MuSiQue: Multi-hop Questions via Single-hop Question Composition.
CoRR
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2021 — conf
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers.
ACL/IJCNLP (Findings)
Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian
2021 J jnl
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers.
CoRR
Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian
2021 B conf
Progressive Knowledge Distillation For Early Action Recognition.
ICIP
Vinh Tran, Niranjan Balasubramanian, Minh Hoai
2021 — conf
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension.
EMNLP (1)
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui
2021 J jnl
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension.
CoRR
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui
2021 — conf
TellMeWhy: A Dataset for Answering Why-Questions in Narratives.
ACL/IJCNLP (Findings)
Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2021 J jnl
TellMeWhy: A Dataset for Answering Why-Questions in Narratives.
CoRR
Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2021 — conf
Toward Diverse Precondition Generation.
*SEM
Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
2021 J jnl
Toward Diverse Precondition Generation.
CoRR
Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
2020 A* conf
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning.
AAAI
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian
2020 B conf
Author's Sentiment Prediction.
COLING
Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian
2020 J jnl
Author's Sentiment Prediction.
CoRR
Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian
2020 J jnl
Bew: Towards Answering Business-Entity-Related Web Questions.
CoRR
Qingqing Cao, Oriana Riva, Aruna Balasubramanian, Niranjan Balasubramanian
2020 A* conf
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering.
ACL
Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
2020 J jnl
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering.
CoRR
Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
2020 B conf
Generating Narrative Text in a Switching Dynamical System.
CoNLL
Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers
2020 J jnl
Generating Narrative Text in a Switching Dynamical System.
CoRR
Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers
2020 A* conf
Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention.
ACL
Veronica E. Lynn, Niranjan Balasubramanian, H. Andrew Schwartz
2020 — conf
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning.
EMNLP (1)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2020 J jnl
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System.
CoRR
Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, Niranjan Balasubramanian
2020 A* conf
Learning Visual Emotion Representations From Web Data.
CVPR
Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras
2020 J jnl
Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering.
CoRR
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
2020 A* conf
Modeling Label Semantics for Predicting Emotional Reactions.
ACL
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers
2020 J jnl
Modeling Label Semantics for Predicting Emotional Reactions.
CoRR
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers
2020 — conf
Modeling Preconditions in Text with a Crowd-sourced Dataset.
EMNLP (Findings)
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian
2020 J jnl
Modeling Preconditions in Text with a Crowd-sourced Dataset.
CoRR
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian
2020 J jnl
Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents.
CoRR
Amanpreet Singh, Niranjan Balasubramanian
2020 — conf
Towards Accurate and Reliable Energy Measurement of NLP Models.
SustaiNLP@EMNLP
Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
2020 J jnl
Towards Accurate and Reliable Energy Measurement of NLP Models.
CoRR
Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
2019 J jnl
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning.
CoRR
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian
2019 A conf
DeQA: On-Device Question Answering.
MobiSys
Qingqing Cao, Noah Weber, Niranjan Balasubramanian, Aruna Balasubramanian
2019 — conf
Latent Part-of-Speech Sequences for Neural Machine Translation.
EMNLP/IJCNLP (1)
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian
2019 J jnl
Latent Part-of-Speech Sequences for Neural Machine Translation.
CoRR
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian
2019 — conf
PoMo: Generating Entity-Specific Post-Modifiers in Context.
NAACL-HLT (1)
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
2019 J jnl
PoMo: Generating Entity-Specific Post-Modifiers in Context.
CoRR
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
2019 — conf
Repurposing Entailment for Multi-Hop Question Answering Tasks.
NAACL-HLT (1)
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
2019 J jnl
Repurposing Entailment for Multi-Hop Question Answering Tasks.
CoRR
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
2018 J jnl
Controlling Decoding for More Abstractive Summaries with Copy-Based Networks.
CoRR
Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Kyunghyun Cho
2018 A conf
Controlling Information Aggregation for Complex Question Answering.
ECIR
Heeyoung Kwon, Harsh Trivedi, Peter Jansen, Mihai Surdeanu, Niranjan Balasubramanian
2018 A* conf
Event Representations With Tensor-Based Compositions.
AAAI
Noah Weber, Niranjan Balasubramanian, Nathanael Chambers
2018 J jnl
Fake Sentence Detection as a Training Task for Sentence Encoding.
CoRR
Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian, Minh Hoai
2018 A* conf
Hierarchical Quantized Representations for Script Generation.
EMNLP
Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nate Chambers
2018 J jnl
Hierarchical Quantized Representations for Script Generation.
CoRR
Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nathanael Chambers
2018 A* conf
Residualized Factor Adaptation for Community Social Media Prediction Tasks.
EMNLP
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian
2018 J jnl
Residualized Factor Adaptation for Community Social Media Prediction Tasks.
CoRR
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian
2018 J jnl
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models.
CoRR
Noah Weber, Leena Shekhar, Niranjan Balasubramanian
2017 J jnl
Event Representations with Tensor-based Compositions.
CoRR
Noah Weber, Niranjan Balasubramanian, Nathanael Chambers
2017 A* conf
Human Centered NLP with User-Factor Adaptation.
EMNLP
Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz
2017 — conf
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU.
EMDL@MobiSys
Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian
2017 J jnl
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU.
CoRR
Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian
2017 Misc conf
PrIA: A Private Intelligent Assistant.
HotMobile
Shashank Jain, Vivek Tiwari, Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty
2016 A* conf
Cross Sentence Inference for Process Knowledge.
EMNLP
Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark
2016 Misc conf
POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports.
AMIA
Veronica E. Lynn, Niranjan Balasubramanian, Tahsin M. Kurç, Joel H. Saltz, Rebecca Jacobson
2016 B conf
What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams.
COLING
Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark
2015 A* conf
Exploring Markov Logic Networks for Question Answering.
EMNLP
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
2015 J jnl
Markov Logic Networks for Natural Language Question Answering.
CoRR
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
2013 — conf
A study of the knowledge base requirements for passing an elementary science test.
AKBC@CIKM
Peter Clark, Philip Harrison, Niranjan Balasubramanian
2013 A* conf
Generating Coherent Event Schemas at Scale.
EMNLP
Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni
2012 — conf
Constructing a Textual KB from a Biology TextBook.
AKBC-WEKEX@NAACL-HLT
Peter Clark, Philip Harrison, Niranjan Balasubramanian, Oren Etzioni
2012 A conf
FindAll: a local search engine for mobile phones.
CoNEXT
Aruna Balasubramanian, Niranjan Balasubramanian, Samuel J. Huston, Donald Metzler, David Wetherall
2012 — conf
Rel-grams: A Probabilistic Model of Relations in Text.
AKBC-WEKEX@NAACL-HLT
Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni
2010 J jnl
Beyond Ranked Lists in Web Search: Aggregating Web Content into Topic Pages.
Int. J. Semantic Comput.
Niranjan Balasubramanian, Silviu Cucerzan
2010 A* conf
Exploring reductions for long web queries.
SIGIR
Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho
2010 A* conf
Learning to select rankers.
SIGIR
Niranjan Balasubramanian, James Allan
2010 A* conf
Predicting query performance on the web.
SIGIR
Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho
2010 — conf
Topic Pages: An Alternative to the Ten Blue Links.
ICSC
Niranjan Balasubramanian, Silviu Cucerzan
2009 A conf
Automatic generation of topic pages using query-based aspect models.
CIKM
Niranjan Balasubramanian, Silviu Cucerzan
2009 A conf
Energy consumption in mobile phones: a measurement study and implications for network applications.
Internet Measurement Conference
Niranjan Balasubramanian, Aruna Balasubramanian, Arun Venkataramani
2009 C conf
Syntactic Query Models for Restatement Retrieval.
SPIRE
Niranjan Balasubramanian, James Allan
2007 A* conf
A comparison of sentence retrieval techniques.
SIGIR
Niranjan Balasubramanian, James Allan, W. Bruce Croft
2007 — conf
Text Categorization for Aligning Educational Standards.
HICSS
Özgür Yilmazel, Niranjan Balasubramanian, Sarah Harwell, Jennifer Bailey, Anne Diekema, Elizabeth D. Liddy
2005 — conf
Improved Document Representation for Classification Tasks for the Intelligence Community.
AAAI Spring Symposium: AI Technologies for Homeland Security
Özgür Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, Elizabeth D. Liddy
2005 C conf
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content.
ISI
Özgür Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, Elizabeth D. Liddy