mlsanityData to 14 Oct 2026

RELATE-Sim: Leveraging Turning Point Theory and LLM Agents to Predict and Understand Long-Term Relationship Dynamics through Interactive Narrative Simulations

arXiv 2510.00414 ↗First posted 1 Oct 2025cs.HCcited by 2

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

Most dating technologies optimize for getting together, not staying together. We present RELATE-Sim, a theory-grounded simulator that models how couples behave at consequential turning points-exclusivity talks, conflict-and-repair episodes, relocations-rather than static traits. Two persona-aligned LLM agents (one per partner) interact under a centralized Scene Master that frames each turning point as a compact set of realistic options, advances the narrative, and infers interpretable state changes and an auditable commitment estimate after each scene. On a longitudinal dataset of 71 couples with two-year follow-ups, simulation-aware predictions outperform a personas-only baseline while surfacing actionable markers (e.g., repair attempts acknowledged, clarity shifts) that explain why trajectories diverge. RELATE-Sim pushes the relationship research's focus from matchmaking to maintenance, providing a transparent, extensible platform for understanding and forecasting long-term relationship dynamics.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 6 of its 21 references that are in the map. First posted on arXiv 1 Oct 2025.

Builds on

6 of 21 references.

Closest ancestors · 3

Same direction, newest first

  1. 2024Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval30 Oct
  2. 2023Character-LLM: A Trainable Agent for Role-Playing16 Oct
  3. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr

Other references · 3

  1. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,395
  2. 2024Emergent social conventions and collective bias in LLM populationscited by 123
  3. 2025ConflictLens: LLM-Based Conflict Resolution Training in Romantic Relationshipcited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2026From We to Me: Theory Informed Narrative Shift with Abductive Reasoningcited by 1
  2. 2025Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applicationscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling
  2. 2026Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM Agents
  3. 2026RealUserSim: Bridging the Reality Gap in Agent Benchmarking via Grounded User Simulation
  4. 2026Delay-of-Gratification as a Multi-Agent Survival Micro-benchmark for Long-Horizon LLMs: Social Exposure, Personas, and Tool Use Budgets
  5. 2025CogniPair: From LLM Chatbots to Conscious AI Agents -- GNWT-Based Multi-Agent Digital Twins for Social Pairing -- Dating & Hiring Applications
  6. 2025Negotiating Comfort: Simulating Personality-Driven LLM Agents in Shared Residential Social Networks
  7. 2026Auditing Support Strategies in LLMs through Grounded Multi-Turn Social Simulation
  8. 2026When LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning