MemGround: Long-Term Memory Evaluation Kit for Large Language Models in Gamified Scenarios

• URL: http://arxiv.org/abs/2604.14158v1
• Date: Mon, 23 Mar 2026 02:57:39 GMT
• Title: MemGround: Long-Term Memory Evaluation Kit for Large Language Models in Gamified Scenarios
• Abstract summary: MemGround is a rigorous long-term memory benchmark grounded in rich, gamified interactive scenarios.<n>To comprehensively quantify both memory utilization and behavioral trajectories, we propose a multi-dimensional metric suite.
• Score: 33.8882826707344
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Current evaluations of long-term memory in LLMs are fundamentally static. By fixating on simple retrieval and short-context inference, they neglect the multifaceted nature of complex memory systems, such as dynamic state tracking and hierarchical reasoning in continuous interactions. To overcome these limitations, we propose MemGround, a rigorous long-term memory benchmark natively grounded in rich, gamified interactive scenarios. To systematically assess these capabilities, MemGround introduces a three-tier hierarchical framework that evaluates Surface State Memory, Temporal Associative Memory, and Reasoning-Based Memory through specialized interactive tasks. Furthermore, to comprehensively quantify both memory utilization and behavioral trajectories, we propose a multi-dimensional metric suite comprising Question-Answer Score (QA Overall), Memory Fragments Unlocked (MFU), Memory Fragments with Correct Order (MFCO), and Exploration Trajectory Diagrams (ETD). Extensive experiments reveal that state-of-the-art LLMs and memory agents still struggle with sustained dynamic tracking, temporal event association, and complex reasoning derived from long-term accumulated evidence in interactive environments.

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