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cs.CL2026
Rethinking Faithfulness in LLMs: A Pairwise Context-Sensitive Perspective
Zizhuo Zhang, Xiong Peng, Jingwei Sun +3
Large language models (LLMs) are expected to answer questions faithfully based on the provided context, abstaining when the context information is insufficient to answer the questi…
cs.CL2026
Thinking-while-speaking: A Controlled, Interleaved Reasoning Method for Real-Time Speech Generation
Xuan Du, Qiangyu Yan, Wenshuo Li +4
The thinking-while-speaking paradigm aims to make AI communication more human. A key challenge is maintaining fluent speech while performing deep reasoning. Our method, InterRS, ta…