---
title: "Shanshan Jiang — author profile and papers in our library"
description: "Shanshan Jiang, Liaoning University: 3 papers on Elamur Research (2024–2026), h-index 32 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/shanshan-jiang/"
---
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# Shanshan Jiang

Shanshan Jiang 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/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bin Dong](https://md.research.elamur.ai/free/en/authors/bin-dong/), [Ben He](https://md.research.elamur.ai/free/en/authors/ben-he/), [Fangyu Lei](https://md.research.elamur.ai/free/en/authors/fangyu-lei/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5039038180) · [ORCID](https://orcid.org/0000-0002-0548-5364) · [**h-index 32**](https://openalex.org/authors/A5039038180) · [185 works](https://openalex.org/works?filter=author.id:A5039038180) · [3,733 citations](https://openalex.org/works?filter=author.id:A5039038180&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shanshan-jiang/#papers) · [🔗 Cited 55 times in our library](https://md.research.elamur.ai/free/en/authors/shanshan-jiang/cited-by/) · [⭐ Paper Stars ranking: #6721](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6721)

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

## Affiliations

[🎓**Liaoning University** Shenyang · China 2023–2026 · 12 papers*current*](https://ror.org/03xpwj629) · [🎓**Anhui University** Hefei · China 2016–2025 · 39 papers](https://md.research.elamur.ai/free/en/universities/anhui-university/) · [🎓**Jiangsu University of Science and Technology** Zhenjiang · China 2022–2025 · 25 papers](https://ror.org/00tyjp878) · [🎓**Nanjing University** Nanjing · China 2018–2021 · 15 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🔬**Collaborative Innovation Center of Advanced Microstructures** Nanjing · China 2018–2021 · 11 papers](https://ror.org/04ttadj76) · [🎓**Luliang University** Lishi · China 2018–2025 · 10 papers](https://ror.org/05495v729) · [🎓**Nanjing Tech University** Nanjing · China 2012–2015 · 8 papers](https://ror.org/03sd35x91) · [🔬**State Key Laboratory of Materials-Oriented Chemical Engineering** Nanjing 2012–2015 · 8 papers](https://ror.org/00s0wpd42) · [🎓**University of Nottingham Ningbo China** Ningbo · China 2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-nottingham-ningbo-china/) · [🎓**Northeast Petroleum University** Daqing · China 2019–2021 · 4 papers](https://ror.org/03net5943)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 39 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 5 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shanshan-jiang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shanshan-jiang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models](https://md.research.elamur.ai/free/en/papers/bian-2024-chatgpt-is-knowledgeable-but-inexperienced/)** *(2024 · 106 citations)* Large language models often struggle with commonsense, but it is unclear where the weakness lies: missing knowledge, or failure to apply it.
2. **[SRCB at SemEval-2026 Task 5 A Multi-Target Finetuning Framework for Large Language Models with Joint Regression and Text Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-srcb-semeval-2026-task-5/)** *(2026 · 1 citation)* The paper describes the first-ranked system for SemEval-2026 Task 5. In this task, models do not pick one correct sense of a homonym. They instead predict how plausible humans find a given sense in a short story, on a 1–5 scale. Evaluation uses Spearman correlation together with an accuracy measure that counts a…
3. **[GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks](https://md.research.elamur.ai/free/en/papers/luo-2026-gate-graph-based-adaptive-tool/)** *(2026)* LLM-based tool-making systems tend to accumulate bloated, repetitive tool libraries and are usually tied to a single task type, such as Minecraft or code generation.

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Bin Dong](https://md.research.elamur.ai/free/en/authors/bin-dong/) ×3
- [Ben He](https://md.research.elamur.ai/free/en/authors/ben-he/)
- [Fangyu Lei](https://md.research.elamur.ai/free/en/authors/fangyu-lei/)
- [Hongyu Li](https://md.research.elamur.ai/free/en/authors/hongyu-li/)
- [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/)
- [Jianwen Luo](https://md.research.elamur.ai/free/en/authors/jianwen-luo/)
- [Jun Zhao](https://md.research.elamur.ai/free/en/authors/jun-zhao/)
- [Kang Liu](https://md.research.elamur.ai/free/en/authors/kang-liu/)
- [Le Sun](https://md.research.elamur.ai/free/en/authors/le-sun/)
- [Shizhu He](https://md.research.elamur.ai/free/en/authors/shizhu-he/)
- [Xianpei Han](https://md.research.elamur.ai/free/en/authors/xianpei-han/)
- [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/)

## 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/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2024](https://md.research.elamur.ai/free/en/venues/lrec/2024/)
- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/)

## Cited by

Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shanshan-jiang/cited-by/).

Updated 1 November 2026
