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cs.CL2026
Separating Stream Stability from Long-Term Recall in Language Models
Peipei Cao, Xin Zhang, Jie Tang +3
Methods for streaming language models are often discussed alongside long-context and memory systems, although they solve different problems. An attention sink can stabilize autoreg…
cs.LG2026
Conformalized Large Language Models under Configuration Shift
Yuqicheng Zhu, Jialin Yu, Lin Li +7
Conformal prediction (CP) is a distribution-free framework for uncertainty quantification that has recently been adapted to large language models (LLMs), providing prediction sets…