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Ximing Li

Ximing Li has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Sentiment & emotion, Reasoning; often with Bing Wang, Bo Xu, Chen Shen.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 20 · 123 works · 1,278 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #9307

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

🎓Jilin UniversityChangchun · China2009–2026 · 112 paperscurrent🔬Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin UniversityChangchun Shi · China2014–2026 · 56 paperscurrent🏛️Ministry of Education of the People's Republic of ChinaBeijing · China2016–2025 · 5 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2016–2017 · 2 papers🔬State Key Laboratory of Networking and Switching TechnologyBeijing · China2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Sentiment & emotion · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction (2023 · 16 citations)
    Sarcasm in social media posts usually pairs positive wording with an unstated negative situation. Detectors that look only at the visible text, or that inject external knowledge in abstract form, often miss that hidden context. The authors draw on the psycholinguistic "direct access" view, which holds that humans…
  2. On the Step Length Confounding in LLM Reasoning Data Selection (2026 · 1 citation)
    The paper looks at naturalness-based selection of supervised fine-tuning data for long chain-of-thought reasoning.

 Co-authors here

11 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 5 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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