7 citations · 12 across the 3 of their papers we have counts for
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cs.CL2026
UTILMEM: Benchmarking Evidence Utilization in Long-Term Conversational Memory
Peijun Qing, Fobo Shi, Soroush Vosoughi
Long-term memory is increasingly important for conversational agents, yet existing benchmarks primarily measure memory through pointwise factual recall: whether a system can recove…
cs.CL2023★ 5 cited
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
Fobo Shi, Peijun Qing, Dong Yang +5
Prompt engineering is an essential technique for enhancing the abilities of large language models (LLMs) by providing explicit and specific instructions. It enables LLMs to excel i…