← Authors

Rahul Gupta

61 papers · 2010–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) πŸ—ΊοΈ Taxonomy Completionist (92) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🌟 Keyword Trendsetter Combo (3) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion 🧬 Topic Evolution 🀝 Dynamic Duo (19) πŸ”₯ Unstoppable (10) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (231) πŸ“ˆ Trend Setter πŸ’Ž Century Club (61) πŸš€ Conference Pioneer ⚑ Prolific Year (9)

Conferences

EMNLP (15) INTERSPEECH (12) ACL (11) NAACL (11) AAAI (3) EACL (2) IJCNLP (2) AACL (1) ICLR (1) JMLR (1) NIPS (1) SEMEVAL (1)

Top co-authors

Kai-Wei Chang (19) Anil Ramakrishna (14) Aram Galstyan (13) Ninareh Mehrabi (12) Jwala Dhamala (11) Palash Goyal (9) Shrikanth S. Narayanan (8) Richard Zemel (8) Manoj Kumar (7) Satyapriya Krishna (6)

Research topics

Privacy (2)

Keywords

large language model (14) text classification (6) machine unlearning (5) language model (5) natural language understanding (4) synthetic data generation (4) model editing (4) text generation (4) question answering (4) intent classification (4) named entity recognition (4) federated learning (3) domain generalization (2) responsible ai (2) affective computing (2) benchmark evaluation (2) zero-shot learning (2) multimodal learning (2) neural machine translation (2) data augmentation (2)

Papers

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