mlsanityData to 14 Oct 2026

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact

arXiv 2412.07880 ↗First posted 10 Dec 2024cs.AIcited by 9

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Abstract (arXiv)

AI for social impact (AI4SI) offers significant potential for addressing complex societal challenges in areas such as public health, agriculture, education, conservation, and public safety. However, existing AI4SI research is often labor-intensive and resource-demanding, limiting its accessibility and scalability; the standard approach is to design a (base-level) system tailored to a specific AI4SI problem. We propose the development of a novel meta-level multi-agent system designed to accelerate the development of such base-level systems, thereby reducing the computational cost and the burden on social impact domain experts and AI researchers. Leveraging advancements in foundation models and large language models, our proposed approach focuses on resource allocation problems providing help across the full AI4SI pipeline from problem formulation over solution design to impact evaluation. We highlight the ethical considerations and challenges inherent in deploying such systems and emphasize the importance of a human-in-the-loop approach to ensure the responsible and effective application of AI systems.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 49 of its 101 references that are in the map. First posted on arXiv 10 Dec 2024.

Builds on

49 of 101 references.

References · 49

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
  3. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  4. 2023Whose Opinions Do Language Models Reflect?cited by 773
  5. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 769
  6. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 752
  7. 2024MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategiescited by 723
  8. 2023AdaPlanner: Adaptive Planning from Feedback with Language Modelscited by 196
  9. 2020ROMA: Multi-Agent Reinforcement Learning with Emergent Rolescited by 137
  10. 2020RODE: Learning Roles to Decompose Multi-Agent Taskscited by 125
  11. 2017FA*IR: A Fair Top-k Ranking Algorithmcited by 113
  12. 2018A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspectivecited by 112
37 more
  1. 2023CoMPosT: Characterizing and Evaluating Caricature in LLM Simulationscited by 97
  2. 2024Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligencecited by 86
  3. 2024Aligning Large Language Models with Representation Editing: A Control Perspectivecited by 64
  4. 2024Efficient Evolutionary Search Over Chemical Space with Large Language Modelscited by 61
  5. 2021Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Healthcited by 43
  6. 2023Prompt2Model: Generating Deployable Models from Natural Language Instructionscited by 41
  7. 2024SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuningcited by 32
  8. 2024HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversationscited by 31
  9. 2021Envisioning Communities: A Participatory Approach Towards AI for Social Goodcited by 30
  10. 2020Artificial Intelligence for Social Good: A Surveycited by 29
  11. 2024A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Healthcited by 24
  12. 2024Configurable Foundation Models: Building LLMs from a Modular Perspectivecited by 22
  13. 2024Mitigating the Risk of Health Inequity Exacerbated by Large Language Modelscited by 21
  14. 2022Low-Rank Modular Reinforcement Learning via Muscle Synergycited by 16
  15. 2024Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detectioncited by 16
  16. 2023TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewisecited by 15
  17. 2023Symmetry-Aware Robot Design with Structured Subgroupscited by 13
  18. 2022Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Healthcited by 12
  19. 2023MUBen: Benchmarking the Uncertainty of Molecular Representation Modelscited by 11
  20. 2022Non-Linear Coordination Graphscited by 10
  21. 2023Towards a Pretrained Model for Restless Bandits via Multi-arm Generalizationcited by 9
  22. 2024Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewardscited by 9
  23. 2021Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomescited by 8
  24. 2022Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximationcited by 8
  25. 2023Efficient Graph Field Integrators Meet Point Cloudscited by 7
  26. 2024Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approachcited by 7
  27. 2024ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasetscited by 7
  28. 2023Balanced Off-Policy Evaluation for Personalized Pricingcited by 5
  29. 2024The Bandit Whisperer: Communication Learning for Restless Banditscited by 5
  30. 2022Ranked Prioritization of Groups in Combinatorial Bandit Allocationcited by 3
  31. 2022Implicit Two-Tower Policiescited by 3
  32. 2024Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Modelscited by 3
  33. 2024Focused ReAct: Improving ReAct through Reiterate and Early Stopcited by 3
  34. 2022COEM: Cross-Modal Embedding for MetaCell Identificationcited by 2
  35. 2024DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedbackcited by 2
  36. 2024Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedbackcited by 1
  37. 2024Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agentscited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 4.

9 papers.

  1. 2025MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Modelscited by 10
  2. 2025A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyondcited by 6
  3. 2025LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluationcited by 1
  4. 2025The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunitiescited by 1
  5. 2025An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learningcited by 0
  6. 2026Community Norms in the Spotlight: Enabling Task-Agnostic Unsupervised Pre-Training to Benefit Online Social Mediacited by 0
  7. 2026Where are the Humans? A Scoping Review of Fairness in Multi-agent AI Systemscited by 0
  8. 2026Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Modelcited by 0
  9. 2026The Evidence Ladder for Reinforcement Learning in Healthcare: From Retrospective Policies to Trusted Interventionscited by 0