---
title: "Gjergji Kasneci — author profile and papers — Elamur Research"
description: "Gjergji Kasneci, Munich Center for Machine Learning: 2 papers on Elamur Research (2026), h-index 33 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/gjergji-kasneci/"
---
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# Gjergji Kasneci

Gjergji Kasneci has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Zheyu Zhang](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/), [Shuo Yang](https://md.research.elamur.ai/free/en/authors/shuo-yang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5024434748) · [ORCID](https://orcid.org/0000-0002-3123-7268) · [Wikidata](https://www.wikidata.org/wiki/Q42363758) · [**h-index 33**](https://openalex.org/authors/A5024434748) · [237 works](https://openalex.org/works?filter=author.id:A5024434748) · [17,435 citations](https://openalex.org/works?filter=author.id:A5024434748&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/gjergji-kasneci/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/gjergji-kasneci/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13567](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13567)

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

## Affiliations

[🎓**Technical University of Munich** Munich · Germany 2022–2026 · 79 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) · [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) · [🎓**University of Tübingen** Tübingen · Germany 2019–2023 · 30 papers](https://md.research.elamur.ai/free/en/universities/university-of-tubingen/) · [🔬**Hasso Plattner Institute** Potsdam · Germany 2012–2016 · 13 papers](https://md.research.elamur.ai/free/en/labs/hasso-plattner-institute/) · [🔬**Max Planck Institute for Informatics** Saarbrücken · Germany 2007–2012 · 11 papers](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/) · [🏢**Microsoft Research** Cambridge · United Kingdom 2010–2013 · 8 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-united-kingdom/) · [🔬**Max Planck Society** Munich · Germany 2007–2009 · 7 papers](https://md.research.elamur.ai/free/en/labs/max-planck-society/) · [🏢**Microsoft** Redmond · United States 2011–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Potsdam** Potsdam · Germany 2014 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-potsdam/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-sage-sparse-adaptive-guidance-dependency/)** *(2026)* LLM-based generators of synthetic tables usually encode each row as text and let every feature attend to every other one.
2. **[Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2026-where-paths-split-localized-calibrated/)** *(2026)* LLMs tend to shift between moral stances depending on context. Existing steering methods, such as prompting or adding a vector scaled by an unbounded coefficient, are hard to interpret and give no guarantee about how strongly a target view will appear. The authors propose Convergent-Divergent Routing (CDR), an…

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting ↗](https://arxiv.org/abs/2412.07675) arXiv:2412.07675 · no summary yet**Shuo Yang, Bardh Prenkaj, Gjergji Kasneci*2024 · 4 citations*
2. **[SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-sage-sparse-adaptive-guidance-dependency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuo Yang, Zheyu Zhang, Bardh Prenkaj, et al.*2026*
3. **[Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2026-where-paths-split-localized-calibrated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci*2026*

## Co-authors here

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

- [Zheyu Zhang](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/) ×2
- [Shuo Yang](https://md.research.elamur.ai/free/en/authors/shuo-yang/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 3 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/gjergji-kasneci/cited-by/).

Updated 2 November 2026
