3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2026
DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings
Wenya Xie, Shengming Zhou, Zelin Li +9
LLM agents increasingly act as personal assistants that must remember a user's profile over months: who they are (attributes), what they routinely do (habits), and what they prefer…
cs.HC2024★ 3 cited
CoPrompter: User-Centric Evaluation of LLM Instruction Alignment for Improved Prompt Engineering
Ishika Joshi, Simra Shahid, Shreeya Venneti +5
Ensuring large language models' (LLMs) responses align with prompt instructions is crucial for application development. Based on our formative study with industry professionals, th…