Rahul Gupta

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 42

Top Topics

Automatically Generated

Language Generation

Feature Representations

Evaluation Metrics

Top Venues

Publications

Zhewei Sun, Qian Hu, Rahul Gupta, Richard S. Zemel, Yang Xu
Toward Informal Language Processing: Knowledge of Slang in Large Language Models. NAACL-HLT (2024)
Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh
Quantitative Certification of Bias in Large Language Models. CoRR (2024)
Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta
Partial Federated Learning. CoRR (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) (2024)
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
The steerability of large language models toward data-driven personas. NAACL-HLT (2024)
Tiantian Feng, Xuan Shi, Rahul Gupta, Shrikanth S. Narayanan
TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality. CoRR (2024)
Zhewei Sun, Qian Hu, Rahul Gupta, Richard S. Zemel, Yang Xu
Toward Informal Language Processing: Knowledge of Slang in Large Language Models. CoRR (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR (2024)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD (2023)
Qian Hu, Palash Goyal, Rahul Gupta
Faithful Model Evaluation for Model-Based Metrics. EMNLP (2023)
Palash Goyal, Qian Hu, Rahul Gupta
Faithful Model Evaluation for Model-Based Metrics. CoRR (2023)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR (2023)
Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
Evaluating Large Language Models on Controlled Generation Tasks. CoRR (2023)
Mustafa Safa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. CoRR (2023)
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
On the steerability of large language models toward data-driven personas. CoRR (2023)
Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr
Quantifying Catastrophic Forgetting in Continual Federated Learning. ICASSP (2023)
Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. ACL (2) (2023)
Caleb Ziems, William Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang
Multi-VALUE: A Framework for Cross-Dialectal English NLP. ACL (1) (2023)
Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta
Self-Healing Through Error Detection, Attribution, and Retraining. ICASSP (2023)
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
FLIRT: Feedback Loop In-context Red Teaming. CoRR (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT (2023)
Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
Incorporating Fairness in Large Scale NLU Systems. WSDM (2023)
Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. EMNLP (Findings) (2023)
Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
Evaluating Large Language Models on Controlled Generation Tasks. EMNLP (2023)
Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta
Sampling bias in NLU models: Impact and Mitigation. INTERSPEECH (2023)
Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta
Coordinated Replay Sample Selection for Continual Federated Learning. CoRR (2023)
Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta
Coordinated Replay Sample Selection for Continual Federated Learning. EMNLP (Industry Track) (2023)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) (2023)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) (2022)
Manoj Kumar, Anna Rumshisky, Rahul Gupta
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. AACL/IJCNLP (1) (2022)
Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan
Joint Multi-Dimensional Model for Global and Time-Series Annotations. IEEE Trans. Affect. Comput. 13 (1) (2022)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) (2022)
Stefan Schroedl, Manoj Kumar, Kiana Hajebi, Morteza Ziyadi, Sriram Venkatapathy, Anil Ramakrishna, Rahul Gupta, Pradeep Natarajan
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection. EMNLP (Industry Track) (2022)
Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan
Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances. ICASSP (2022)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR (2022)
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT (2022)
Aman Alok, Rahul Gupta, Shankar Ananthakrishnan
Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems. CoRR (2022)
Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza
Controlled Data Generation via Insertion Operations for NLU. NAACL-HLT (Industry Papers) (2022)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR (2022)
Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson
Modeling Feature Representations for Affective Speech Using Generative Adversarial Networks. IEEE Trans. Affect. Comput. 13 (2) (2022)