---
title: "Prasanth Yadla — author profile and papers — Elamur Research"
description: "Prasanth Yadla: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/prasanth-yadla/"
---
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# Prasanth Yadla

Prasanth Yadla has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5115574904) · [ORCID](https://orcid.org/0009-0002-1406-5625) · [**h-index 1**](https://openalex.org/authors/A5115574904) · [15 works](https://openalex.org/works?filter=author.id:A5115574904) · [2 citations](https://openalex.org/works?filter=author.id:A5115574904&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/prasanth-yadla/#papers) · [⭐ Paper Stars ranking: #13353](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13353)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Prasanth+Yadla) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Prasanth+Yadla) · [dblp](https://dblp.org/search?q=Prasanth+Yadla) · [ACL Anthology](https://aclanthology.org/search/?q=Prasanth+Yadla)

## Affiliations

[🎓**North Carolina State University** Raleigh · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/north-carolina-state-university/)

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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/prasanth-yadla/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Efficient Visual Grounding in VQA via Question-Guided Sparse Attention](https://md.research.elamur.ai/free/en/papers/yadla-2026-efficient-visual-grounding-vqa-question/)** *(2026)* Vision–language models usually pass every image patch into cross-attention, even though a question typically concerns only a few regions.
2. **[Syntactic Priming in Few-Shot Learning: How Demonstration Structure Shapes LLM Performance](https://md.research.elamur.ai/free/en/papers/yadla-2026-syntactic-priming-few-shot-learning/)** *(2026)* Few-shot prompting research has mostly examined the meaning, labels and reasoning steps of demonstrations.
3. **[Translation-Augmented Multilingual Summarization for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/yadla-2026-translation-augmented-multilingual-summarization-low/)** *(2026)* Summarization tools are mature for English but scarce for low-resource languages, largely because labeled data is lacking.

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/): [ALVR 2026](https://md.research.elamur.ai/free/en/venues/alvr/2026/)
- [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/): [Workshop on Language Technology for Equality, Diversity, Inclusion 2026](https://md.research.elamur.ai/free/en/venues/ltedi/2026/)
- [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/): [*SEM 2026](https://md.research.elamur.ai/free/en/venues/starsem/2026/)

Updated 2 November 2026
