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Priyanshu Priya

Priyanshu Priya has 4 papers in our library, in 2023–2026, most of them on Dialogue systems, Sentiment & emotion; often with Asif Ekbal, Mauajama Firdaus, Kshitij Mishra.

4 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 6 · 32 works · 119 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #7556

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. 1 more institution 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. Computational Politeness in Natural Language Processing: A Survey (2024 · 34 citations)
    This survey maps the research area that tries to detect and generate politeness in text automatically. It starts from linguistic theory and covers several traditions: maxim-based accounts (Grice's Cooperative Principle and Leech's Politeness Principle), face-based, discursive, relational and frame-based views. It…
  2. PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent (2023 · 23 citations)
    The paper addresses online mental-health counseling, where a dialogue agent should adjust its tone to the client's emotional state instead of answering in one fixed style.
  3. Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational Systems (2023 · 2 citations)
    The paper addresses customer-care dialogue. An agent's reply should be helpful, and its form of politeness should also suit the customer's mood. The authors split politeness into five behaviours: appreciation, empathy, apology, greeting and assurance. They define a new task of generating replies guided by one of…
  4. Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding (2026)
    LLMs used for medical dialogue generation (MDG) often hallucinate. They can contradict even correct knowledge they are given, which is dangerous in clinical advice. The authors present IMKDG (In-context Medical Knowledge-grounded Dialogue Generator), a plug-and-play retrieval framework that needs no extra…

 Co-authors here

3 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 24 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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