Charith Peris

37 papers A* 1A 2Journal 22Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Defenses Against Prompt Attacks Learn Surface Heuristics.
CoRR
Shawn Li, Chenxiao Yu, Zhiyu Ni, Hao Li, Charith Peris, Chaowei Xiao, Yue Zhao
2026 — conf
Multi-Token Completion for Text Anonymization.
EACL (Volume 1: Long Papers)
Pulkit Madaan, Krithika Ramesh, Lisa Bauer, Charith Peris, Anjalie Field
2025 J jnl
Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks.
CoRR
Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia
2025 J jnl
K-Edit: Language Model Editing with Contextual Knowledge Awareness.
CoRR
Elan Markowitz, Anil Ramakrishna, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2025 J jnl
Privacy and Fairness in Machine Learning: A Survey.
IEEE Trans. Artif. Intell.
Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2025 J jnl
Safe and Efficient In-Context Learning via Risk Control.
CoRR
Andrea Wynn, Metod Jazbec, Charith Peris, Rinat Khaziev, Anqi Liu, Daniel Khashabi, Eric T. Nalisnick
2025 — conf
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation.
ACL (Findings)
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2025 J jnl
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation.
CoRR
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2024 — conf
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
EMNLP (Findings)
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 J jnl
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
CoRR
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 — conf
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains.
EMNLP (Findings)
Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan, Lisa Bauer, Charith Peris, Anjalie Field
2024 J jnl
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains.
CoRR
Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan, Lisa Bauer, Charith Peris, Anjalie Field
2024 J jnl
Partial Federated Learning.
CoRR
Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta
2024 — conf
The steerability of large language models toward data-driven personas.
NAACL-HLT
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2024 — conf
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.
ACL (1)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.
CoRR
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2023 — conf
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.
ACL (2)
Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
2023 J jnl
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.
CoRR
Mustafa Safa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
2023 — conf
Coordinated Replay Sample Selection for Continual Federated Learning.
EMNLP (Industry Track)
Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta
2023 J jnl
Coordinated Replay Sample Selection for Continual Federated Learning.
CoRR
Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta
2023 J jnl
Holistic Survey of Privacy and Fairness in Machine Learning.
CoRR
Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2023 A conf
Incorporating Fairness in Large Scale NLU Systems.
WSDM
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
2023 — conf
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages.
ACL (1)
Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gökhan Tür, Prem Natarajan
2023 J jnl
On the steerability of large language models toward data-driven personas.
CoRR
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 A conf
Privacy in the Time of Language Models.
WSDM
Charith Peris, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard S. Zemel, Rahul Gupta
2022 A* conf
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
KDD
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan
2022 J jnl
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
CoRR
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan
2022 J jnl
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.
CoRR
Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan
2022 J jnl
Differentially Private Decoding in Large Language Models.
CoRR
Jimit Majmudar, Christophe Dupuy, Charith Peris, Sami Smaili, Rahul Gupta, Richard S. Zemel
2022 — conf
Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks.
EMNLP (Industry Track)
Charith Peris, Lizhen Tan, Thomas Gueudré, Turan Gojayev, Pan Wei, Gokmen Oz
2022 J jnl
Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks.
CoRR
Charith Peris, Lizhen Tan, Thomas Gueudré, Turan Gojayev, Pan Wei, Gokmen Oz
2022 J jnl
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages.
CoRR
Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gökhan Tür, Prem Natarajan
2022 J jnl
The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition.
CoRR
Christopher Hench, Charith Peris, Jack FitzGerald, Kay Rottmann
2020 — conf
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU.
ICON
Olga Golovneva, Charith Peris
2020 J jnl
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU.
CoRR
Olga Golovneva, Charith Peris
2020 — conf
Using multiple ASR hypotheses to boost i18n NLU performance.
ICON
Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan
2020 J jnl
Using multiple ASR hypotheses to boost i18n NLU performance.
CoRR
Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan