---
title: "Siyuan Song — author profile and papers — Elamur Research"
description: "Siyuan Song, Shanghai Jiao Tong University: 3 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/siyuan-song/"
---
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# Siyuan Song

Siyuan Song has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Implicature](https://md.research.elamur.ai/free/en/topics/implicature/); often with [Hai Hu](https://md.research.elamur.ai/free/en/authors/hai-hu/), [Jennifer Hu](https://md.research.elamur.ai/free/en/authors/jennifer-hu/), [Kanishka Misra](https://md.research.elamur.ai/free/en/authors/kanishka-misra/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5108925755) · [**h-index 2**](https://openalex.org/authors/A5108925755) · [13 works](https://openalex.org/works?filter=author.id:A5108925755) · [14 citations](https://openalex.org/works?filter=author.id:A5108925755&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/siyuan-song/#papers) · [🔗 Cited 18 times in our library](https://md.research.elamur.ai/free/en/authors/siyuan-song/cited-by/) · [⭐ Paper Stars ranking: #8570](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8570)

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

## Affiliations

[🎓**The University of Texas at Austin** Austin · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**Zhejiang University** Hangzhou · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/)

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 6 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/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Implicature · 1 work](https://md.research.elamur.ai/free/en/topics/implicature/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Implicature · 1 work](https://md.research.elamur.ai/free/en/concepts/implicature/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/siyuan-song/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/siyuan-song/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/siyuan-song/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom](https://md.research.elamur.ai/free/en/papers/yue-2024-do-large-language-models-understand/)** *(2024 · 19 citations)* The authors test whether large language models (LLMs) understand conversational implicature, that is, the indirect, non-literal meaning of an utterance, in Chinese.
2. **[Language Models Fail to Introspect About Their Knowledge of Language](https://md.research.elamur.ai/free/en/papers/song-2025-language-models-fail-introspect-about/)** *(2025 · 9 citations)* This work tests whether large language models can introspect, meaning whether they can accurately report on their own linguistic knowledge without fine-tuning.
3. **[Bears, all bears, and some bears. Language Constraints on Language Models' Inductive Inferences](https://md.research.elamur.ai/free/en/papers/padmanabhan-2026-bears-all-bears-some-bears/)** *(2026)* The paper asks whether vision-language models (VLMs) treat three kinds of statements differently when generalizing a new property to an individual: universal statements ("all bears"), bare-plural generics ("bears"), and indefinite plurals ("some bears").

## Co-authors here

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

- [Hai Hu](https://md.research.elamur.ai/free/en/authors/hai-hu/)
- [Jennifer Hu](https://md.research.elamur.ai/free/en/authors/jennifer-hu/)
- [Kanishka Misra](https://md.research.elamur.ai/free/en/authors/kanishka-misra/)
- [Kyle Mahowald](https://md.research.elamur.ai/free/en/authors/kyle-mahowald/)
- [Shisen Yue](https://md.research.elamur.ai/free/en/authors/shisen-yue/)

## Venues

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

- [Chinese National Conference on Computational Linguistics](https://md.research.elamur.ai/free/en/venues/ccl/): [Chinese National Conference on Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/ccl/2024/)
- [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/)

## Cited by

Papers of our library cite their works 18 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/siyuan-song/cited-by/).

Updated 1 November 2026
