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Aishwarya Padmakumar

Aishwarya Padmakumar has 2 papers in our library, in 2022–2025, most of them on Speech act theory, Language models & pretraining, Dialogue systems; often with Dilek Hakkani-Tur, Makesh Narsimhan Sreedhar, Spandana Gella.

2 papers in our library · 2022–2025

OpenAlex · h-index 10 · 42 works · 321 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 53 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7357

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 States2021–2024 · 9 papers🎓The University of Texas at AustinAustin · United States2017–2020 · 5 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2023 · 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.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workPsychology · 1 workSocial Psychology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workDialogue systems · 1 workSpeech act theory · 1 work

 Works by year

2020s

20251 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails (2025 · 53 citations)
    Content moderation for LLMs needs openly licensed, human-labeled training data that covers many kinds of harm.
  2. Dialog Acts for Task Driven Embodied Agents (2022 · 16 citations)
    Household robots that take instructions in natural language must understand requests given at different levels of detail and know when to ask for missing information.

All works

5 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. AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM GuardrailsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, et al.2025 · 53 citations
  2. VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJialu Li et al.2024 · 18 citations
  3. Dialog Acts for Task Driven Embodied AgentsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Spandana Gella, Aishwarya Padmakumar, Patrick Lange, et al.2022 · 16 citations
  4. ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetArjun Akula et al.2022 · 2 citations
  5. On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets ↗Proceedings of the Third Workshop on Insights from Negative Results in NLP · no summary yetHyounghun Kim et al.2022

 Co-authors here

4 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 53 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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