---
title: "Shenran Wang — author profile and papers · Implicature"
description: "Shenran Wang, University of British Columbia: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/shenran-wang/"
---
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# Shenran Wang

Shenran Wang has 3 papers in our library, in 2026, most of them on [Implicature](https://md.research.elamur.ai/free/en/topics/implicature/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Hila Gonen](https://md.research.elamur.ai/free/en/authors/hila-gonen/), [Jian Zhu](https://md.research.elamur.ai/free/en/authors/jian-zhu/), [Mengzhe Geng](https://md.research.elamur.ai/free/en/authors/mengzhe-geng/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5109636962) · [**h-index 1**](https://openalex.org/authors/A5109636962) · [6 works](https://openalex.org/works?filter=author.id:A5109636962) · [2 citations](https://openalex.org/works?filter=author.id:A5109636962&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shenran-wang/#papers) · [⭐ Paper Stars ranking: #11851](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11851)

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

## Affiliations

[🎓**University of British Columbia** Vancouver · Canada 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/)

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 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 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/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Physiology · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/physiology/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 7 Research subjects and languages the work is about.[Implicature · 1 work](https://md.research.elamur.ai/free/en/topics/implicature/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/shenran-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Don't ‘Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA Performance](https://md.research.elamur.ai/free/en/papers/wang-2026-don-t-well-actually-me/)** *(2026)* The paper examines false-presupposition QA (FPQA), where a model should either answer a question or point out and correct a mistaken assumption inside it.
2. **[Exploring Cross-Lingual Voice Conversion Methods for Anonymizing Low-Resource Text-to-Speech](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-cross-lingual-voice-conversion/)** *(2026)* Neural TTS for small language communities raises a privacy concern: the few people who record training data are often well known, and a model that can say anything in their voice could harm their reputation or lend credibility to scams.
3. **[Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures](https://md.research.elamur.ai/free/en/papers/wang-2026-understanding-context-learning-beyond-transformers/)** *(2026)* Mechanistic work on in-context learning (ICL) has so far explained it mainly through particular attention heads in transformers, such as function vector (FV) heads and induction heads.

## Co-authors here

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

- [Hila Gonen](https://md.research.elamur.ai/free/en/authors/hila-gonen/)
- [Jian Zhu](https://md.research.elamur.ai/free/en/authors/jian-zhu/)
- [Mengzhe Geng](https://md.research.elamur.ai/free/en/authors/mengzhe-geng/)
- [Vered Shwartz](https://md.research.elamur.ai/free/en/authors/vered-shwartz/)

## 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/)
- [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/)

Updated 1 November 2026
