The DOI matches its Crossref record.
Agentic Knowledgeable Self-awareness
Open accessAbstract
Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
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Agentic AI systems can remove ambiguity, enact user preferences, and derive next actions through self-reflection to generate signals.
“Agency AI Systems can remove ambiguity, enact user preferences [154], and derive next actions through self-reflection to generate signals [144].”
From The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges (2025) · cites this paper as [144]
Autonomous systems manage automating task scheduling, digital management of content, and automating multi-step workflows like travel booking or e-commerce tasks.
“Autonomous systems also manage automating task scheduling, digital management of content, and automating multi-step workflows like travel booking or e-commerce tasks [141,144].”
From The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges (2025) · cites this paper as [144]
Autonomous systems depend on using natural language processing (NLP) and situational reasoning algorithms to adapt to changing situations.
“Autonomous systems depend on using natural language processing (NLP) and situational reasoning algorithms to adapt to changing situationals [144].”
From The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges (2025) · cites this paper as [144]
Citations
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Cited by
Sorted by citations
Bandi, A., Kongari, B., Naguru, R., Pasnoor, S., & Vilipala, S. V. (2025) · Future Internet · doi:10.3390/fi17090404 · Cited by 207
Meghraouı, K., & Moussaid, A. (2026) · Technologies · doi:10.3390/technologies14090591 · Cited by 1
Test-Time Deep Thinking to Explore Implicit Rules
Chen, W., Cong, X., Zhang, Z., Lu, Y., Zhao, S., Wu, Y., Luo, Q., Chen, H., Lin, Y., Liu, Z., et al. (2026) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3770855.3817790
Self-citation
Metadata
- Authors
- Qiao, S., Qiu, Z., Ren, B., Wang, X., Ru, X., Zhang, N., Chen, X., Jiang, Y., Xie, P., Huang, F., & Chen, H.
- Affiliations
- Nanjing University of Aeronautics and Astronautics (CN)
- Alibaba Group (China) (CN)
- ORCID
- Venue
- Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Published
- 2025
- Pages
- 12601-12625
- ISSN
- 0736-587X (ISSN-L)
- OpenAlex
- W4412945224
- Cited by
- 3
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 2.86
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Proceedings of the conference - Association for Computational Linguistics. Meeting (publishedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (62206246, NSFCU23B2055, NSFCU19B2027)
- Zhejiang University
- Natural Science Foundation of Ningbo
- Fundamental Research Funds for the Central Universities (226-2023-00138)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
- Keywords
- self-awareness, large language models, knowledge retrieval, self-reflection
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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