Rahul Gupta

ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System ACL 2026 From Narrow Unlearning to Emergent Misalignment in LLMs ACL 2026 SWAN: Semantic Watermarking with Abstract Meaning Representation ACL 2026 Certifying Counterfactual Bias in LLMs ICLR 2025 Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time EMNLP 2025 HyperDefender: A Robust Framework for Hyperbolic GNNs AAAI 2025 LUME: LLM Unlearning with Multitask Evaluations EMNLP 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 On Localizing and Deleting Toxic Memories in Large Language Models NAACL 2025 SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models SemEval 2025 Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation ACL 2025 Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification EMNLP 2024 BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation NAACL 2024 Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024 FLIRT: Feedback Loop In-context Red Teaming EMNLP 2024 Masking Latent Gender Knowledge for Debiasing Image Captioning NAACL 2024 MICo: Preventative Detoxification of Large Language Models through Inhibition Control NAACL 2024 Self-contradictory reasoning evaluation and detection EMNLP 2024 The steerability of large language models toward data-driven personas NAACL 2024 Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies NAACL 2024 Toward Informal Language Processing: Knowledge of Slang in Large Language Models NAACL 2024 Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs ACL 2024 Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning ACL 2023 Coordinated Replay Sample Selection for Continual Federated Learning EMNLP 2023 Evaluating Large Language Models on Controlled Generation Tasks EMNLP 2023 Faithful Model Evaluation for Model-Based Metrics EMNLP 2023 INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations EMNLP 2023 Multi-VALUE: A Framework for Cross-Dialectal English NLP ACL 2023 MUTANT: A Multi-sentential Code-mixed Hinglish Dataset EACL 2023 Resolving Ambiguities in Text-to-Image Generative Models ACL 2023 Sampling bias in NLU models: Impact and Mitigation Interspeech 2023 Canary Extraction in Natural Language Understanding Models ACL 2022 Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets AACL 2022 Controlled Data Generation via Insertion Operations for NLU NAACL 2022 Federated Learning with Noisy User Feedback NAACL 2022 FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022 Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection EMNLP 2022 Measuring Fairness of Text Classifiers via Prediction Sensitivity ACL 2022 Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal ACL 2022 On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations ACL 2022 Training Mixed-Domain Translation Models via Federated Learning NAACL 2022 ADePT: Auto-encoder based Differentially Private Text Transformation EACL 2021 Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification ACL 2021 Towards Realistic Single-Task Continuous Learning Research for NER EMNLP 2021 Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks EMNLP 2020 A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation AAAI 2019 Deep Reinforcement Learning for Syntactic Error Repair in Student Programs AAAI 2019 Neural Attribution for Semantic Bug-Localization in Student Programs NeurIPS 2019 One-vs-All Models for Asynchronous Training: An Empirical Analysis Interspeech 2019 On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks Interspeech 2018 Adversarial Auto-Encoders for Speech Based Emotion Recognition Interspeech 2017 An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks Interspeech 2017 Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction Interspeech 2017 Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders Interspeech 2016 An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators Interspeech 2016 Automatic Estimation of Perceived Sincerity from Spoken Language Interspeech 2016 Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues Interspeech 2016 Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment Interspeech 2016 Predicting Affective Dimensions Based on Self Assessed Depression Severity Interspeech 2016 ReNoun: Fact Extraction for Nominal Attributes EMNLP 2014 Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials JMLR 2010