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Jiawen Deng

Jiawen Deng has 3 papers in our library, in 2022–2026, most of them on Bias, fairness & safety, Language models & pretraining, Dialogue systems; often with Hao Sun, Jiale Cheng, Minlie Huang.

3 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 9 · 36 works · 491 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 127 times in our library · ⭐ Paper Stars ranking: #6567

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

🎓University of Electronic Science and Technology of ChinaChengdu · China2024–2026 · 25 paperscurrent🎓Tokushima UniversityTokushima · Japan2018–2021 · 5 papers🎓Tsinghua UniversityBeijing · China2022–2023 · 4 papers🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2022 · 2 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing · China2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksSafety Research · 2 worksSocial Sciences · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 5Research subjects and languages the work is about.Bias, fairness & safety · 2 worksLanguage models & pretraining · 1 workDialogue systems · 1 workEvaluation & benchmarks · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark (2022 · 102 citations)
    Open-domain chatbots can produce replies that look harmless in isolation but become harmful given what the user said.
  2. Safety Assessment of Chinese Large Language Models (2023 · 89 citations)
    Chat models such as ChatGPT can produce toxic, biased or dangerous output and can be misused, yet Chinese-language LLMs had no systematic safety evaluation.
  3. Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation (2026)
    Known jamming attacks on Retrieval-Augmented Generation (RAG) make the system refuse to answer. Such refusals are easy to spot, and the injected text often has unusually high perplexity. This paper defines a quieter availability threat called soft failure. Here the model still writes a fluent, on-topic reply, but it…

 Co-authors here

9 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 127 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated

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