Niranjan Balasubramanian

62 papers · 2013–2025 · 12 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (12) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (99) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (12) 🏠 Conference Loyalist (21) 🤝 Dynamic Duo (16) 🔬 Deep Specialist (11) 🧬 Topic Evolution 🏆 Keyword Champion 📈 Trend Setter 🗃️ Keyword Collector (254) ⚡ Prolific Year (13) 🔥 Unstoppable (11) 💎 Century Club (62) ❓ The Questioner (3)

Conferences

EMNLP (21) ACL (16) IJCNLP (8) NAACL (6) AACL (2) COLING (2) EACL (2) AAAI (1) CONLL (1) CVPR (1) ECCV (1) NIPS (1)

Top co-authors

Nathanael Chambers (16) H. Andrew Schwartz (11) Harsh Trivedi (10) Yash Kumar Lal (10) Mahnaz Koupaee (9) Heeyoung Kwon (8) Aruna Balasubramanian (7) Nikita Soni (6) Ashish Sabharwal (6) Tushar Khot (6)

Keywords

language model (8) question answering (5) large language model (5) text generation (5) social media analysis (4) semi-supervised learning (4) latent variable model (4) commonsense reasoning (3) representation learning (3) stance detection (3) event language model (3) knowledge distillation (3) transformer model (3) text classification (3) neural network (3) neural machine translation (2) language modeling (2) causal reasoning (2) natural language inference (2) curriculum learning (2)

Papers

MuSciClaims: Multimodal Scientific Claim Verification AACL 2025

Quantifying Misattribution Unfairness in Authorship Attribution ACL 2025

Causal Graph based Event Reasoning using Semantic Relation Experts ACL 2025

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences ACL 2025

Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks NAACL 2025

ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models IJCNLP 2025

MuSciClaims: Multimodal Scientific Claim Verification IJCNLP 2025

Residualized Similarity for Faithfully Explainable Authorship Verification EMNLP 2025

ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models AACL 2025

Continual Learning with Global Alignment NIPS 2024

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? ACL 2024

Large Human Language Models: A Need and the Challenges NAACL 2024

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans EMNLP 2024

Look Hear: Gaze Prediction for Speech-directed Human Attention ECCV 2024

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents ACL 2024

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions ACL 2023

NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints ACL 2023

Modeling Complex Event Scenarios via Simple Entity-focused Questions EACL 2023

Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation EACL 2023

SAGEViz: SchemA GEneration and Visualization EMNLP 2023

Using Commonsense Knowledge to Answer Why-Questions EMNLP 2022

Human Language Modeling ACL 2022

BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples EMNLP 2022

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events EMNLP 2022

Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts EMNLP 2022

TellMeWhy: A Dataset for Answering Why-Questions in Narratives IJCNLP 2021

TellMeWhy: A Dataset for Answering Why-Questions in Narratives ACL 2021

Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension EMNLP 2021

IrEne-viz: Visualizing Energy Consumption of Transformer Models EMNLP 2021

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection EMNLP 2021

Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models ACL 2021

IrEne: Interpretable Energy Prediction for Transformers ACL 2021

IrEne: Interpretable Energy Prediction for Transformers IJCNLP 2021

Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models IJCNLP 2021

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers IJCNLP 2021

Toward Diverse Precondition Generation IJCNLP 2021

Toward Diverse Precondition Generation ACL 2021

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers ACL 2021

Towards Accurate and Reliable Energy Measurement of NLP Models EMNLP 2020

Generating Narrative Text in a Switching Dynamical System EMNLP 2020

Modeling Preconditions in Text with a Crowd-sourced Dataset EMNLP 2020

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning EMNLP 2020

Author’s Sentiment Prediction COLING 2020

Learning Visual Emotion Representations From Web Data CVPR 2020

Generating Narrative Text in a Switching Dynamical System CONLL 2020

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention ACL 2020

Modeling Label Semantics for Predicting Emotional Reactions ACL 2020

DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL 2020

PoMo: Generating Entity-Specific Post-Modifiers in Context NAACL 2019

Repurposing Entailment for Multi-Hop Question Answering Tasks NAACL 2019

Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes NAACL 2019

Latent Part-of-Speech Sequences for Neural Machine Translation IJCNLP 2019

Latent Part-of-Speech Sequences for Neural Machine Translation EMNLP 2019

Residualized Factor Adaptation for Community Social Media Prediction Tasks EMNLP 2018

Hierarchical Quantized Representations for Script Generation EMNLP 2018

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models NAACL 2018

Human Centered NLP with User-Factor Adaptation EMNLP 2017

Cross Sentence Inference for Process Knowledge EMNLP 2016

What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams COLING 2016

Exploring Markov Logic Networks for Question Answering EMNLP 2015

Generating Coherent Event Schemas at Scale EMNLP 2013