PALM
Personalized, aligned, long-term memory for AI systems
NeurIPS 2026 workshop · Paris · December 2026
Personalized, aligned, long-term memory for AI systems
NeurIPS 2026 workshop · Paris · December 2026
Long-term memory is becoming a core component of modern AI systems. Conversational assistants and agentic systems are increasingly expected to retain information across sessions, personalize to users, reason over long horizons, and act consistently across tasks, tools, and modalities. This shift moves AI systems beyond single-context interactions toward persistent memory layers that encode, retrieve, update, and sometimes forget past experience.
PALM is a workshop on safe, personalized, and long-term memory for AI agents and conversational assistants. The workshop will bring together researchers working on memory architectures, personalization, multimodal and embodied memory, agentic and multi-agent memory, cognitive and neuroscience-inspired memory, evaluation, and safety. Our goal is to build a shared research agenda around how AI systems should remember, what they should forget, how memory should be evaluated, and how persistent memory can be made controllable, transparent, and safe.
Topics of interest include, but are not limited to:
We welcome work on how conversational assistants should write, retrieve, update, consolidate, and forget memories across sessions. Example topics include memory stores for multi-session dialogue, retrieval policies for user preferences, memory consolidation from conversation histories, and mechanisms for handling stale or contradictory memories.
We invite work on how agents use memory to support long-horizon tasks, tool use, collaboration, and coordination. Example topics include persistent task histories, tool-use traces, shared memory across agents, memory provenance, memory isolation between agents, and mechanisms for propagating or restricting memories in multi-agent systems.
We encourage submissions on memory systems that operate across text, images, video, audio, sensorimotor streams, robotics, and embodied environments. Example topics include long-term video memory, visual retrieval for agents, spatial memory for embodied systems, multimodal event memory, and memory for AR/VR or robotic assistants.
We welcome work that draws inspiration from human and biological memory systems to inform AI memory design. Example topics include complementary learning systems, episodic-to-semantic consolidation, replay, forgetting, abstraction, cognitive maps, and comparisons between human and machine memory limitations or biases.
We invite work on how to evaluate long-term memory systems beyond short-context recall. Example topics include long-horizon memory benchmarks, temporal reasoning over past events, memory update and deletion tests, contradiction handling, abstention under uncertainty, oracle-retrieval comparisons, and evaluations of real-world memory competence.
We encourage work on the risks introduced by persistent memory and memory-enabled personalization. Example topics include memory poisoning, prompt injection through stored memories, sleeper memories, privacy leakage, cross-domain leakage, sycophancy, harmful belief reinforcement, long-term manipulation, and alignment drift.
We welcome work on how users can understand and control what AI systems remember. Example topics include interfaces for inspecting, editing, deleting, and scoping memories; consent and access-control mechanisms; memory provenance; right-to-be-forgotten mechanisms; and human-centered evaluations of memory transparency.
We invite submissions on long-term memory for AI agents, conversational assistants, and personalized AI systems. We welcome work from machine learning, NLP, AI agents, HCI, cognitive science, neuroscience, privacy, security, and AI safety. Submissions may present new architectures, benchmarks, datasets, evaluations, systems, theoretical perspectives, position papers, negative results, or interdisciplinary analyses.
All deadlines are 11:59pm AoE (Anywhere on Earth).
A full-day event with invited talks, contributed talks, poster sessions, and a panel discussion. The detailed program will be announced closer to the workshop.
