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cs.CL2026
PGMem: Tightly Coupled Persona-Memory Graph for Lifelong Personalized Agents
Wonjun Choi, Yerim Kim, Yukyung Lee +1
Long-term personalized dialogue agents must track user preferences as their personas evolve. Existing memory systems organize past events well, but store personas as flat profiles…
cs.CL2026
HiVe: Beyond Static Prompts for Multitask Learning via Hierarchy-based Vertical Mixture-of-Experts
Hyeonjik Bae, Minyeol Kim, Susik Yoon
As large language models (LLMs) continue to scale, parameter-efficient fine-tuning (PEFT) has become a practical alternative to full-parameter adaptation. Prompt tuning is effectiv…
cs.CL2026
Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams
Yukyung Lee, Yebin Lim, Woojun Jung +2
Evaluating language models in streaming environments is critical, yet underexplored. Existing benchmarks either focus on single complex events or provide curated inputs for each qu…