#AI Collaboration

Articles (7)

• 🇺🇸 Agent Hunt: Bounty Based Collaborative Autoformalization With LLM Agents — 10/03/2026 [USA]

  arXiv:2603.06737v1 Announce Type: cross Abstract: We describe an experiment in large-scale autoformalization of algebraic topology in an Interactive Theorem Proving (ITP) environment, where the workl...

  Related: #Formal Verification
• 🇺🇸 Contextual Counterfactual Credit Assignment for Multi-Agent Reinforcement Learning in LLM Collaboration — 10/03/2026 [USA]

  arXiv:2603.06859v1 Announce Type: cross Abstract: Cooperative multi-agent reinforcement learning (MARL) systems powered by large language models (LLMs) are frequently optimized via sparse terminal-on...

  Related: #Reinforcement Learning
• 🇺🇸 Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning — 10/03/2026 [USA]

  arXiv:2603.07972v1 Announce Type: new Abstract: While scaling individual Large Language Models (LLMs) has delivered remarkable progress, the next frontier lies in scaling collaboration through multi-...

  Related: #Continual Learning
• 🇺🇸 Microsoft taps Anthropic for Copilot Cowork in push for AI agents — 09/03/2026 [USA] Related: #Workplace Automation
• 🇺🇸 Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence — 09/03/2026 [USA]

  arXiv:2504.17703v4 Announce Type: replace-cross Abstract: Federated Learning (FL) has emerged as a transformative paradigm in the field of distributed machine learning, enabling multiple clients such...

  Related: #Privacy
• 🇺🇸 Bernstein sees ’relief’ for SaaS stocks as Anthropic pivots to collaboration — 08/03/2026 [USA] Related: #Market Analysis
• 🇺🇸 From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration — 06/03/2026 [USA]

  arXiv:2603.04474v1 Announce Type: cross Abstract: Large Language Model-based Multi-Agent Systems (LLM-MAS) are increasingly applied to complex collaborative scenarios. However, their collaborative me...

  Related: #Error Management