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Language Models (Mostly) Know When to Stop Reading

Ruixi Xie, Jiacheng Wang, Petru Rosu, Chunyang Deng, Bolun Sun, Zining Lin, Bhuwan Dhingra

Conference on Neural Information Processing Systems (NeurIPS 2025)

This paper investigates when language models can determine they have gathered sufficient information to answer a question, demonstrating their ability to adaptively stop reading.

Creation of the Chinese Adaptive Policy Communication Corpus

Bolun Sun, Charles Chang, Yuen Yuen Ang, Pinjia Hao, Ren Mu, Yiqing Xu, Zijie Zhang

Annual Meeting of the Association for Computational Linguistics (ACL 2026 Main)

This paper introduces the Chinese Adaptive Policy Communication (CAPC) Corpus, a large-scale resource for studying how Chinese central and local governments adapt policy messaging to audiences. Accepted to ACL Main 2026.

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