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Charith Peris

Charith Peris has 2 papers in our library, in 2026, most of them on Semantic parsing & meaning representation; often with Anil Ramakrishna, Anjalie Field, Aram Galstyan.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 8 · 58 works · 329 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 278 times in our library · 11 more in our library without a page yet · ⭐ Paper Stars ranking: #11454

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢AmazonSeattle · United States2020–2026 · 25 paperscurrent🎓University of Southern CaliforniaLos Angeles · United States2023–2024 · 3 papers
🏛️Amazon AGIBoston · United States2019Employment since 2019 · Senior Applied Scientist
🎓Northeastern UniversityBoston · United StatesEducation · Department of Physics

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Semantic parsing & meaning representation · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Multi-Token Completion for Text Anonymization (2026 · 1 citation)
    Most anonymization research focuses on finding and removing sensitive content. This paper addresses a less studied question: what should replace the redacted spans? Realistic surrogates can make leaked real identifiers harder to spot, following the Hiding In Plain Sight idea, and they keep text usable even under…
  2. SWAN: Semantic Watermarking with Abstract Meaning Representation (2026)
    Watermarks for LLM-generated text are usually planted at the token level by biasing which tokens the decoder picks.

All works

13 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJack FitzGerald et al.2023 · 265 citations
  2. AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model ↗arXiv:2208.01448 · no summary yetSaleh Soltan et al.2022 · 84 citations
  3. Differentially Private Decoding in Large Language Models ↗arXiv (Cornell University) · no summary yetJimit Majmudar et al.2022 · 35 citations
  4. The steerability of large language models toward data-driven personas ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJunyi Li et al.2024 · 20 citations
  5. On the steerability of large language models toward data-driven personas ↗arXiv (Cornell University) · no summary yetJunyi Li et al.2023 · 18 citations
  6. Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetTao Meng et al.2024 · 3 citations
  7. Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetTharindu Kumarage et al.2025 · 2 citations
  8. Multi-Token Completion for Text AnonymizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Pulkit Madaan, Krithika Ramesh, Lisa Bauer, et al.2026 · 1 citation
  9. Coordinated Replay Sample Selection for Continual Federated Learning ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetJack Good et al.2023 · 1 citation
  10. Using multiple ASR hypotheses to boost i18n NLU performance ↗Proceedings of the 17th International Conference on Natural Language Processing (ICON) · no summary yetCharith Peris et al.2020 · 1 citation
  11. SWAN: Semantic Watermarking with Abstract Meaning RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.2026
  12. Partial Federated Learning ↗arXiv (Cornell University) · no summary yetTiantian Feng et al.2024
  13. Incorporating Fairness in Large Scale NLU Systems ↗no summary yetRahul Gupta et al.2023

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 278 times (of the 149,439 papers whose bibliographies we read); 60 citing papers with a page here →.

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