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If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs

Year: 2026

Type: conference-paper

Abstract: Siqi Fan, Xiusheng Huang, Yiqun Yao, Xuezhi Fang, Kang Liu, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.1659

Authors: Siqi Fan, Xiusheng Huang, Yiqun Yao, Xuezhi Fang, Kang Liu, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang

Institutions: University of Electronic Science and Technology of China, Chinese Academy of Sciences, Beijing Academy of Artificial Intelligence, Institute of Automation, Nanyang Technological University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

OpenAlex ID: W4417049753

FWCI: 17.87

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Cited by: 2

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