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Author

Charith Peris

Observed name: Peris, Charith
Observed institutions: University of Southern California, Amazon (United States), University of Massachusetts Lowell, Amazon (Germany), Arizona State University, University of Maryland, College Park
ORCID: 0000-0003-3648-8389
Observed ORCID: 0000-0003-3648-8389
OpenAlex ID: A5010781829
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
2023 · Jack FitzGerald, Christopher Hench, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 216
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AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
2022 · Soltan, Saleh, Ananthakrishnan, Shankar, et al. · arXiv (Cornell University) · 100
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Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
2022 · Jack FitzGerald, Shankar Ananthakrishnan, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 70
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Differentially Private Decoding in Large Language Models
2022 · Majmudar, Jimit, Dupuy, Christophe, et al. · arXiv (Cornell University) · 68
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Privacy in the Time of Language Models
2023 · Charith Peris, Christophe Dupuy, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 47
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Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
2023 · Mustafa Ozdayi, Charith Peris, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 46
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On the steerability of large language models toward data-driven personas
2023 · Li, Junyi, Mehrabi, Ninareh, et al. · arXiv (Cornell University) · 34
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Privacy and Fairness in Machine Learning: A Survey
2025 · Sina Shaham, Arash Hajisafi, et al. · IEEE Transactions on Artificial Intelligence · 30
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The Amazon Nova Family of Models: Technical Report and Model Card
2025 · AGI, Amazon, Langford, Aaron, et al. · arXiv (Cornell University) · 25
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The steerability of large language models toward data-driven personas
2024 · Junyi Li, Charith Peris, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 14
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Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
2024 · Krithika Ramesh, Nupoor Gandhi, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 13
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Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs
2024 · Elan Markowitz, Anil Ramakrishna, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 11
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Defenses Against Prompt Attacks Learn Surface Heuristics
2026 · Li Li, Chenxiao Yu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 9
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Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
2025 · Dabas, Mahavir, Huynh, Tran, et al. · arXiv (Cornell University) · 7
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PReMISE: Policy Rubrics as Measurement Specifications for LLM Judges
2026 · Swastik Roy, Rajkumar Pujari, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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K-Edit: Language Model Editing with Contextual Knowledge Awareness
2025 · Markowitz, Elan, Ramakrishna, Anil, et al. · arXiv (Cornell University) · 4
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Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
2024 · Tao Meng, Ninareh Mehrabi, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 4
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Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks
2022 · Charith Peris, Lizhen Tan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
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Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU
2020 · Golovneva, Olga, Peris, Charith · arXiv (Cornell University) · 4
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Hear2Act: Benchmarking When Prosody Should Change What an Assistant Does
2026 · Liu, Xinyi, Nayyeri, Hooshang, et al. · arXiv (Cornell University) · 3
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Coordinated Replay Sample Selection for Continual Federated Learning
2023 · Jack Good, Jimit Majmudar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3
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Belief-Calibrated Optimization: An Explicit World Model for Agentic Optimization
2026 · Chen, Yuhan, Tian, Zhihua, et al. · arXiv (Cornell University) · 2
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Beyond Individual Personas: Aligning Synthetic Dialogue to Population-Level Behavior Distributions
2026 · Xinyi Liu, Rinat Khaziev, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 2
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Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
2025 · Wynn, Andrea, Jazbec, Metod, et al. · arXiv (Cornell University) · 2
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Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
2025 · Tharindu Kumarage, Ninareh Mehrabi, et al. · SuperIntelligence - Robotics - Safety & Alignment · 2
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Works count: 52
Citation count: 736
H-index: 11
I10-index: 12
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