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Vaibhav Varshney

Vaibhav Varshney has 2 papers in our library, in 2020–2026, most of them on Sentiment & emotion, Information retrieval & search; often with Saurabh Srivastava.

2 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 9 · 19 works · 210 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #7507

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

🎓University of DelhiNew Delhi · India2017–2025 · 15 papers🎓University of Engineering & Management, JaipurJaipur · India2021–2023 · 3 papers

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.

📚 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 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Novel Hierarchical BERT Architecture for Sarcasm Detection (2020 · 62 citations)
    This workshop paper addresses context-aware sarcasm detection: deciding whether a reply in an online conversation is sarcastic, given the preceding conversation. The authors used the Twitter and Reddit datasets from the FigLang-2020 shared task. Their model handles the context hierarchically:
  2. Index-Time Prefix Injection for Multi-Tenant Retrieval: Improving Search Relevance Without Model Fine-Tuning (2026)
    Enterprise search platforms that serve many customers usually rely on one shared retrieval encoder. Contractual data isolation prevents fine-tuning it for each customer, and separate per-customer models do not scale. The authors (ServiceNow) propose index-time prefix injection, which requires no training. Before…

 Co-authors here

1 co-author 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 9 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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