Author

Saadia Gabriel

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Jul 2026

PM-Bench: Evaluating Prospective Memory in LLM Agents

PM-Bench, a text-based benchmark for measuring prospective memory capabilities in modern LLM agents, is introduced, Inspired by the Virtual Week paradigm from cognitive science, which evaluates how well LLM agents maintain user intentions, execute delayed intentions, and monitor latent environment changes.

Genglin Liu, Saadia Gabriel · arXiv.org · 1 citation

#small language model Preprint Aug 2026

Belief Cascades Drive Persuasion in LLM Agent Networks

This work introduces a controlled testbed for studying how goal-directed persuaders shift elicited stances in networks of LLM agents grounded in real-world ego-network topologies, and argues for evaluating multi-agent persuasion as a trajectory- and exposure-level process.

Haoyi Qiu, Genglin Liu, P. Venkit et al. · 0 citations