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cs.CL2026
TriggerBench: Investigating Prospective Memory for Large Language Models
Tianhua Zhang, Xinjiang Wang, Qianxi Zhang +6
While Large Language Models (LLMs) are increasingly deployed in long interactions, existing evaluations focus predominantly on retrospective memory (RM) via explicit queries. Prosp…
cs.CL2024
RelayAttention for Efficient Large Language Model Serving with Long System Prompts
Lei Zhu, Xinjiang Wang, Wayne Zhang +1
A practical large language model (LLM) service may involve a long system prompt, which specifies the instructions, examples, and knowledge documents of the task and is reused acros…