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Shanshan Jiang

Shanshan Jiang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Text generation, Reasoning; often with Bin Dong, Ben He, Fangyu Lei.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 32 · 185 works · 3,733 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 55 times in our library · ⭐ Paper Stars ranking: #6721

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

🎓Liaoning UniversityShenyang · China2023–2026 · 12 paperscurrent🎓Anhui UniversityHefei · China2016–2025 · 39 papers🎓Jiangsu University of Science and TechnologyZhenjiang · China2022–2025 · 25 papers🎓Nanjing UniversityNanjing · China2018–2021 · 15 papers🔬Collaborative Innovation Center of Advanced MicrostructuresNanjing · China2018–2021 · 11 papers🎓Luliang UniversityLishi · China2018–2025 · 10 papers🎓Nanjing Tech UniversityNanjing · China2012–2015 · 8 papers🔬State Key Laboratory of Materials-Oriented Chemical EngineeringNanjing2012–2015 · 8 papers🎓University of Nottingham Ningbo ChinaNingbo · China2023 · 4 papers🎓Northeast Petroleum UniversityDaqing · China2019–2021 · 4 papers

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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 workText generation · 1 workCode & programming languages · 1 work

 Works by year

2020s

20262 papers20241 paper

 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 (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 (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 (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.

Venues

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

 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 →.

Updated

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