🧑‍🔬 Yang Deng

🏛️ Affiliations

🎓Singapore Management UniversitySingapore · Singapore2024–2026 · 14 paperscurrent🎓Shanghai UniversityShanghai · China2024–2026 · 2 paperscurrent🎓Chinese University of Hong KongHong Kong · Hong Kong2018–2024 · 30 papers🎓National University of SingaporeSingapore · Singapore2023–2024 · 12 papers🎓Peking UniversityBeijing · China2017–2020 · 11 papers🎓Hong Kong Polytechnic UniversityHong Kong · Hong Kong2021–2024 · 3 papers🔬Peng Cheng LaboratoryShenzhen · China2018–2019 · 2 papers🎓University of New MexicoAlbuquerque · United States2013 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Aspect Sentiment Quad Prediction as Paraphrase Generation (2021 · 325 citations)
   Aspect-based sentiment analysis (ABSA) is built around four elements: the category an aspect falls under, the term naming the aspect itself, the words expressing an opinion about it, and the polarity of the sentiment conveyed.
2. Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration (2023 · 128 citations)
   Chat assistants built on large language models, such as ChatGPT, respond fluently but mostly react to the user. They rarely ask for clarification when a request is ambiguous, and they seldom steer or resist a conversation. Deng et al. test whether such systems can handle proactive dialogue in three settings:

All works

6 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. Aspect Sentiment Quad Prediction as Paraphrase GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Wenxuan Zhang, Yang Deng, Xin Li, et al.2021 · 325 citations
2. Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaborationFindings of the Association for Computational LinguisticsYang Deng, Lizi Liao, Liang Chen, et al.2023 · 128 citations
3. Hello Again! LLM-powered Personalized Agent for Long-term Dialogue ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetHao Li et al.2025 · 54 citations
4. FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHongzhan Lin et al.2025 · 15 citations
5. AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetWeixiang Zhao et al.2025 · 10 citations
6. Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWeixiang Zhao et al.2025 · 9 citations

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Hongru Wang
• Liang Chen
• Lidong Bing
• Tat-Seng Chua
• Wai Lam
• Wenqiang Lei
• Wenxuan Zhang
• Xin Li

Venues

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

• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2021
• Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 254 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 24 October 2026

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