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Ruqing Zhang

Ruqing Zhang has 2 papers in our library, in 2023–2026, most of them on Sentiment & emotion; often with Jiafeng Guo, Xueqi Cheng, Yixing Fan.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 22 · 137 works · 1,491 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 42 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8828

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSoftware · 1 work

🧭 Topics 1Research subjects and languages the work is about.Sentiment & emotion · 1 work

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Prompt Tuning with Contradictory Intentions for Sarcasm Recognition (2023 · 24 citations)
    Recognizing sarcasm is difficult for prompt-based methods. Sarcastic speakers convey a meaning that runs against their literal wording, so templates and label words borrowed from sentiment classification transfer poorly, and crafting better ones requires expert knowledge. The authors propose SarcPrompt, which builds…
  2. Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models (2026)
    Neural ranking models (NRMs) in search engines can be manipulated by small, hard-to-notice document edits, such as synonym swaps, that push low-quality pages higher in the results.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Learning to Control the Specificity in Neural Response Generation ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRuqing Zhang et al.2018 · 104 citations

 Co-authors here

4 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 42 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

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