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Rashmi Gangadharaiah

Rashmi Gangadharaiah has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Dialogue systems; often with Vinayshekhar Bannihatti Kumar, Sandesh Swamy.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 10 · 85 works · 354 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 71 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #10115

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems (2023 · 6 citations)
    Adapting large language models to task-oriented dialog response generation usually means full fine-tuning, which is slow and costly in compute.
  2. Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis (2026 · 2 citations)
    Several recent studies report that membership inference attacks (MIAs) on large language models barely beat random guessing.
  3. When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented Dialogue (2026)
    Current evaluators of conversational agents typically check either user satisfaction or the correctness of tool calls in isolation.

All works

10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetRashmi Gangadharaiah, Balakrishnan Narayanaswamy2019 · 145 citations
  2. Privacy Adhering Machine Un-learning in NLP ↗Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings) · no summary yetVinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth2023 · 29 citations
  3. PerKGQA: Question Answering over Personalized Knowledge Graphs ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetRitam Dutt et al.2022 · 14 citations
  4. Towards Cross-Domain Transferability of Text Generation Models for Legal Text ↗Proceedings of the Natural Legal Language Processing Workshop 2022 · no summary yetVinayshekhar Bannihatti Kumar, Kasturi Bhattacharjee, Rashmi Gangadharaiah2022 · 8 citations
  5. What Do Users Care About? Detecting Actionable Insights from User Feedback ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track · no summary yetKasturi Bhattacharjee et al.2022 · 3 citations
  6. Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters ↗arXiv (Cornell University) · no summary yetVinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth2022 · 1 citation
  7. Reducing Asymmetry between language-pairs to Improve Alignment and Translation Quality ↗Proceedings of 5th International Joint Conference on Natural Language Processing · no summary yetGangadharaiah, Rashmi2011

 Co-authors here

2 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 71 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

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