{"slug": "enhancing-multi-agent-communication-through-attention-steering", "title": "Enhancing Multi-Agent Communication Through Attention Steering", "summary": "Researchers have developed Agent-Radar, a training-free context management method that dynamically steers each agent's attention toward relevant information using a temporal and spatial decay mechanism. The method addresses performance degradation in LLM-based multi-agent systems caused by rapidly accumulating long conversation histories that dilute relevant context. Agent-Radar outperformed state-of-the-art methods across five benchmarks with gains of up to 7.64 absolute points, remaining effective as the number of agents and interaction rounds increased.", "body_md": "# Computer Science > Artificial Intelligence\n\n[Submitted on 28 May 2026]\n\n# Title:Enhancing Multi-Agent Communication through Attention Steering with Context Relevance\n\n[View PDF](/pdf/2605.30136)\n\n[HTML (experimental)](https://arxiv.org/html/2605.30136v1)\n\nAbstract:LLM-based multi-agent systems have demonstrated remarkable performance on complex tasks through collaborative reasoning. However, these systems tend to rapidly accumulate extremely long conversation histories during interaction. As conversations lengthen, relevant information is increasingly diluted by irrelevant context, leading to degraded performance. In this work, we present Agent-Radar, a training-free context management method that dynamically steers each agent's attention toward relevant context with a novel temporal and spatial decay mechanism. Our experiments demonstrate that Agent-Radar outperforms state-of-the-art methods across five different benchmarks, yielding gains of up to 7.64 absolute points. Furthermore, our analysis shows that Agent-Radar remains effective and robust as the number of agents and interaction rounds increases. Finally, the ablation study shows that core components in Agent-Radar are crucial to performance and generalizable in different settings.\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/enhancing-multi-agent-communication-through-attention-steering", "canonical_source": "https://arxiv.org/abs/2605.30136", "published_at": "2026-05-31 07:29:04+00:00", "updated_at": "2026-05-31 07:44:44.054044+00:00", "lang": "en", "topics": ["large-language-models", "artificial-intelligence", "machine-learning", "ai-agents", "natural-language-processing"], "entities": ["Agent-Radar"], "alternates": {"html": "https://wpnews.pro/news/enhancing-multi-agent-communication-through-attention-steering", "markdown": "https://wpnews.pro/news/enhancing-multi-agent-communication-through-attention-steering.md", "text": "https://wpnews.pro/news/enhancing-multi-agent-communication-through-attention-steering.txt", "jsonld": "https://wpnews.pro/news/enhancing-multi-agent-communication-through-attention-steering.jsonld"}}