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Ritambhara Singh

Ritambhara Singh has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Vision & language; often with Carsten Eickhoff, Michal Golovanevsky, William Rudman.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 24 · 133 works · 3,442 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #9960

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

🎓Brown UniversityProvidence · United States2020–2026 · 66 paperscurrent🎓University of VirginiaCharlottesville · United States2014–2017 · 14 papers🎓University of WashingtonSeattle · United States2019–2021 · 5 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).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 works

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts (2025 · 8 citations)
    Multimodal LLMs answer visual questions well, but it is unclear whether they rely on knowledge memorized during pretraining or on the image they are shown.
  2. Mechanisms of Prompt-Induced Hallucination in Vision–Language Models (2026 · 2 citations)
    Vision–language models sometimes trust a user's wording more than what the image shows. This paper studies that failure, called prompt-induced hallucination (PIH), using object counting. Images from CountBench are first counted correctly by the model. The same images are then paired with a request to describe more…

 Co-authors here

6 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 9 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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