---
title: "Santosh T.Y.S.S — author profile and papers · Summarization"
description: "Santosh T.Y.S.S: 2 papers on Elamur Research (2024–2026) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/santosh-t-y-s-s/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/santosh-t-y-s-s/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Santosh T.Y.S.S

# Santosh T.Y.S.S

Santosh T.Y.S.S has 2 papers in our library, in 2024–2026, most of them on [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/), [Matthias Grabmair](https://md.research.elamur.ai/free/en/authors/matthias-grabmair/).

2 papers in our library · 2024–2026

No OpenAlex profile matched yet.

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/santosh-t-y-s-s/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/santosh-t-y-s-s/cited-by/) · [⭐ Paper Stars ranking: #9303](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9303)

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=Santosh+T.Y.S.S) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Santosh+T.Y.S.S) · [dblp](https://dblp.org/search?q=Santosh+T.Y.S.S) · [ACL Anthology](https://aclanthology.org/search/?q=Santosh+T.Y.S.S)

## Fields, topics and concepts

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

📚 Shelves 8 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/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [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/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/)

🧭 Topics 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/santosh-t-y-s-s/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/santosh-t-y-s-s/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English](https://md.research.elamur.ai/free/en/papers/s-2024-lexsumm-lext5-benchmarking-modeling-legal/)** *(2024 · 16 citations)* Existing legal NLP benchmarks such as LexGLUE and LEXTREME cover only predictive tasks like classification.
2. **[Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLP](https://md.research.elamur.ai/free/en/papers/xu-2026-position-noise-signal-selbstzweck-reframing/)** *(2026 · 1 citation)* This position paper addresses how NLP treats legitimate annotator disagreement, known as Human Label Variation (HLV), now that LLMs are post-trained on human preference data.

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/)
- [Matthias Grabmair](https://md.research.elamur.ai/free/en/authors/matthias-grabmair/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Natural Legal Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/nllp/): [Natural Legal Language Processing Workshop 2024](https://md.research.elamur.ai/free/en/venues/nllp/2024/)

## Cited by

Papers of our library cite their works 9 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/santosh-t-y-s-s/cited-by/).

Updated 31 October 2026
