---
title: "Rishi Ravikumar — author profile and papers in our library"
description: "Rishi Ravikumar, University of Manchester: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/rishi-ravikumar/"
---
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# Rishi Ravikumar

Rishi Ravikumar has 2 papers in our library, in 2026, most of them on [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Riza Batista-Navarro](https://md.research.elamur.ai/free/en/authors/riza-batista-navarro/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5126909543) · [**h-index 1**](https://openalex.org/authors/A5126909543) · [9 works](https://openalex.org/works?filter=author.id:A5126909543) · [1 citations](https://openalex.org/works?filter=author.id:A5126909543&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/rishi-ravikumar/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/rishi-ravikumar/cited-by/) · [⭐ Paper Stars ranking: #12291](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12291)

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=Rishi+Ravikumar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rishi+Ravikumar) · [dblp](https://dblp.org/search?q=Rishi+Ravikumar) · [ACL Anthology](https://aclanthology.org/search/?q=Rishi+Ravikumar)

## Affiliations

[🎓**University of Manchester** Manchester · United Kingdom 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-manchester/)

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Information extraction · 2 works](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/rishi-ravikumar/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction](https://md.research.elamur.ai/free/en/papers/ravikumar-2026-lost-formatting-how-output-formats/)** *(2026 · 2 citations)* LLM-based information extraction systems are usually fine-tuned to produce one output format, often picked by habit. The authors test whether this choice matters. Their framework covers three sequence-labelling tasks, each with two benchmarks:
2. **[When Tasks Share Structure: A Comparative Study of Training Strategies for Generative Event Extraction](https://md.research.elamur.ai/free/en/papers/ravikumar-2026-when-tasks-share-structure-comparative/)** *(2026 · 1 citation)* Event extraction usually breaks into two subtasks: event detection (ED) locates trigger words and assigns each an event type, while event argument extraction (EAE) identifies participants and the roles they play.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Riza Batista-Navarro](https://md.research.elamur.ai/free/en/authors/riza-batista-navarro/) ×2

## Venues

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

- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/): [Workshop on Event Extraction and Understanding: Challenges and Applications 2026](https://md.research.elamur.ai/free/en/venues/eeuca/2026/)

## Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/rishi-ravikumar/cited-by/).

Updated 31 October 2026
