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Kartikeya Upasani

Kartikeya Upasani has 2 papers in our library, in 2019–2023, most of them on Discourse analysis, Text generation, Dialogue systems; often with Anusha Balakrishnan, Davide Testuggine, Jinfeng Rao.

2 papers in our library · 2019–2023

OpenAlex · ORCID · h-index 5 · 14 works · 243 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 385 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3352

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

🏢MetaMenlo Park · United States2019 · 4 papers🏢MetaLondon · United Kingdom2019 · 2 papers🎓The Ohio State UniversityColumbus · United States2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 1 workDiscourse analysis · 1 workText generation · 1 work

 Works by year

2020s

20231 paperKartikeya Upasani's papers of 2023

2010s

20191 paperKartikeya Upasani's papers of 2019

 Papers

The most cited first (OpenAlex and our library).

  1. Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations (2023 · 369 citations)
    Existing moderation services such as Perspective API, the OpenAI Content Moderation API and Azure Content Safety are poorly suited to guarding chatbots.
  2. Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue (2019 · 132 citations)
    Neural sequence-to-sequence generators for task-oriented dialogue usually take flat slot-value meaning representations (MRs) as input.

All works

4 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. Llama Guard: LLM-based Input-Output Safeguard for Human-AI ConversationsarXiv:2312.06674Hakan Inan, Kartikeya Upasani, Jianfeng Chi, et al.2023 · 369 citations
  2. Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented DialogueAnnual Meeting of the Association for Computational Linguistics (ACL)Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, et al.2019 · 132 citations
  3. A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog ↗Proceedings of the 12th International Conference on Natural Language Generation · no summary yetJinfeng Rao et al.2019 · 27 citations
  4. The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization ↗Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019) · no summary yetKartikeya Upasani et al.2019

 Co-authors here

8 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 385 times (of the 141,840 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/kartikeya-upasani/