---
title: "Livia Qian — author profile and papers — Elamur Research"
description: "Livia Qian, KTH Royal Institute of Technology: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/livia-qian/"
---
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# Livia Qian

Livia Qian 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/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Gabriel Skantze](https://md.research.elamur.ai/free/en/authors/gabriel-skantze/), [Richard Johansson](https://md.research.elamur.ai/free/en/authors/richard-johansson/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5103132693) · [ORCID](https://orcid.org/0000-0002-7885-5477) · [**h-index 1**](https://openalex.org/authors/A5103132693) · [13 works](https://openalex.org/works?filter=author.id:A5103132693) · [2 citations](https://openalex.org/works?filter=author.id:A5103132693&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/livia-qian/#papers) · [⭐ Paper Stars ranking: #12103](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12103)

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

## Affiliations

[🎓**KTH Royal Institute of Technology** Stockholm · Sweden 2023–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/kth-royal-institute-of-technology/)

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 5 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/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/qian-2026-aligning-backchannel-dialogue-context-representations/)** *(2026)* Backchannels such as 'mhm', 'yeah' or 'wow' are brief listener responses. Their meaning depends on both the word chosen and how it is said. Most computational work predicts when they occur, not which form fits a given moment. Qian and Skantze build a two-stage system for that second problem.
2. **[Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)** *(2026)* Speech language models built on top of text LLMs can answer factual questions from audio. It is unclear whether they do this by reusing the knowledge-retrieval circuitry of their text backbone. This paper tests that question on SpiritLM, which feeds interleaved HuBERT speech tokens and Llama 2 text tokens into a…

## Co-authors here

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

- [Gabriel Skantze](https://md.research.elamur.ai/free/en/authors/gabriel-skantze/) ×2
- [Richard Johansson](https://md.research.elamur.ai/free/en/authors/richard-johansson/)

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/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 1 November 2026
