Niranjan Balasubramanian

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