LoCoMo
Emerging36papers using it
2025first seen
The 'LOCOMO' dataset/benchmark is used to evaluate long-term conversation capabilities of personalized AI agents by providing a structured framework for assessing their memory and reasoning abilities over extended interactions.
Papers using LoCoMo (33)
- EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic EnvironmentsRethinking Memory as Continuously Evolving ConnectivityLearning Query-Aware Budget-Tier Routing for Runtime Agent MemoryOmni-simplemem: Autoresearch-guided Discovery Of Lifelong Multimodal Agent MemoryAtomMem: Building Simple and Effective Memory System for LLM Agents via Atomic FactsA-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent MemoryMemPro: Agentic Memory Systems as Evolvable ProgramsDMF: A Deterministic Memory Framework for Conversational AI AgentsMemory is Reconstructed, Not Retrieved: Graph Memory for LLM AgentsLearning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language AgentsOrganize then Retrieve: Hierarchical Memory Navigation for Efficient AgentsUser as Code: Executable Memory for Personalized AgentsMandol: An Agglomerative Agent Memory System for Long-Term ConversationsParallel Context Compaction for Long-Horizon LLM Agent ServingMemForest: An Efficient Agent Memory System with Hierarchical Temporal IndexingMGRetrieval: Memory-Guided Reflective Retrieval for Long-Term Dialogue AgentsMemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational AgentsSAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMsHierarchical Memory for High-Efficiency Long-Term Reasoning in LLM AgentsScaling Self-Evolving Agents via Parametric MemoryPRISM: Pareto-Efficient Retrieval over Intent-Aware Structured Memory for Long-Horizon AgentsAgentIR: A Workload-Adaptive Cascade Retrieval Substrate for Long-Term Conversational MemoryMitigating Provenance-Role Collapse in Long-Term Agents via Typed Memory RepresentationTReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session DialoguesRethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent MemoryMemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational AgentsMemrouter: Memory-as-embedding Routing For Long-term Conversational AgentsAll-Mem: Agentic Lifelong Memory via Dynamic Topology EvolutionMemSkill: Learning and Evolving Memory Skills for Self-Evolving AgentsMemora: A Harmonic Memory Representation Balancing Abstraction and SpecificityMembox: Weaving Topic Continuity into Long-Range Memory for LLM AgentsPISA: A Pragmatic Psych-Inspired Unified Memory System for Enhanced AI AgencyRGMem: Renormalization Group-inspired Memory Evolution for Language Agents