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Jing-Bo Yang

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#natural language process... Preprint Sep 2026

Persistent Context Graphs for Efficient Memory Compaction in LLM Agents

As LLM capabilities advance, agents are tackling increasingly complex tasks over longer horizons. Their growing interaction histories make memory compaction essential for staying within context windows and reducing prefill cost. Existing methods summarize the history or compress its KV cache, often adding model computa...

Jing-Bo Yang, Kwei-Herng Lai, Xiao-Wen Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Learning from Research: Toward Lifelong Agent Harness Evolution

Language agents are expected to solve increasingly complex tasks, creating a growing need for continual improvement. One promising approach is to evolve the agent harness, the software that governs tool use, memory management, and task execution, while keeping the underlying language model fixed. Recent methods automat...

Jing-Bo Yang, Kwei-Herng Lai, Xiao-Wen Wang et al. · 0 citations

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