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Jingyu Lu

Jingyu Lu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Dialogue systems; often with Changhao Pan, Chenyuhao Wen, Tianhao Li.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 29 · 129 works · 2,858 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: #13670

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

🎓Harbin Institute of TechnologyHarbin · China2020–2026 · 44 paperscurrent🎓Nanjing University of Science and TechnologyNanjing · China2023–2026 · 3 paperscurrent🎓Hunan UniversityChangsha · China2022–2026 · 2 paperscurrent🎓Nanyang Technological UniversitySingapore · Singapore2010–2014 · 13 papers🎓Zhejiang UniversityHangzhou · China2018–2025 · 12 papers🎓National University of SingaporeSingapore · Singapore2014–2016 · 10 papers🎓University of CambridgeCambridge · United Kingdom1997–2021 · 6 papers🎓Australian National UniversityCanberra · Australia2024–2025 · 4 papers🎓Soochow UniversitySuzhou · China2022–2025 · 3 papers🎓Jiangsu UniversityZhenjiang · China2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs (2026)
    Most work on adversarial prompting treats a prompt as one undivided string. This paper argues instead that prompts are built from functional parts, and that these parts differ in how easily an attack can exploit them.
  2. SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness (2026)
    End-to-end spoken dialogue systems need reward signals that go beyond text semantics. The authors identify two weaknesses in current evaluators. The first is a modality gap: prosody, emotion and channel cues are invisible to text-based judges. The second is a colloquialness gap: written-style replies sound scripted…

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. WavChat: A Survey of Spoken Dialogue Models ↗arXiv:2411.13577 · no summary yetShengpeng Ji et al.2024 · 45 citations
  2. Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yujia Zheng, Tianhao Li, Haotian Huang, et al.2026
  3. SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and ColloquialnessAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyu Lu, Yuhan Wang, Fan Zhuo, et al.2026

 Co-authors here

10 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); 12 citing papers with a page here →.

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