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Livia Qian

Livia Qian has 2 papers in our library, in 2026, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Gabriel Skantze, Richard Johansson.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 13 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12103

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓KTH Royal Institute of TechnologyStockholm · Sweden2023–2026 · 8 paperscurrent

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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksDialogue systems · 1 workSpeech & spoken language · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning (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? (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.

Venues

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

Updated

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