#Multi-Agent Systems
Latest news articles tagged with "Multi-Agent Systems". Follow the timeline of events, related topics, and entities.
Articles (10)
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🇺🇸 AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning
[USA]
arXiv:2602.23258v1 Announce Type: new Abstract: While Multi-Agent Systems (MAS) excel in complex reasoning, they suffer from the cascading impact of erroneous information generated by individual part...
Related: #Artificial Intelligence, #Error Mitigation, #Information Optimization -
🇺🇸 Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks
[USA]
arXiv:2602.23330v1 Announce Type: new Abstract: The advancement of large language models (LLMs) has accelerated the development of autonomous financial trading systems. While mainstream approaches de...
Related: #Artificial Intelligence, #Financial Trading -
🇺🇸 Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
[USA]
arXiv:2602.22523v1 Announce Type: new Abstract: While contemporary large language models (LLMs) are increasingly capable in isolation, there are still many difficult problems that lie beyond the abil...
Related: #Artificial Intelligence, #Cognitive Science -
🇺🇸 MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
[USA]
arXiv:2505.11963v3 Announce Type: replace-cross Abstract: Hardware security verification is a challenging and time-consuming task. Design engineers may use formal verification, linting, and functiona...
Related: #Artificial Intelligence, #Hardware Security -
🇺🇸 Team of Thoughts: Efficient Test-time Scaling of Agentic Systems through Orchestrated Tool Calling
[USA]
arXiv:2602.16485v1 Announce Type: cross Abstract: Existing Multi-Agent Systems (MAS) typically rely on static, homogeneous model configurations, limiting their ability to exploit the distinct strengt...
Related: #Agentic systems, #Orchestrator and Tool Calling, #Heterogeneous Agents, #Test‑time Scaling -
🇺🇸 Artificial Organisations
[USA]
arXiv:2602.13275v1 Announce Type: new Abstract: Alignment research focuses on making individual AI systems reliable. Human institutions achieve reliable collective behaviour differently: they mitigat...
Related: #AI Alignment, #Organisational Design, #Reliability Engineering, #Institutional Approach -
🇺🇸 ATLAS : Adaptive Self-Evolutionary Research Agent with Task-Distributed Multi-LLM Supporters
[USA]
arXiv:2602.02709v2 Announce Type: replace Abstract: Recent multi-LLM agent systems perform well in prompt optimization and automated problem-solving, but many either keep the solver frozen after fine...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning
[USA]
arXiv:2602.04634v2 Announce Type: replace Abstract: Recent advancements in Large Language Models (LLMs) have largely focused on depth scaling, where a single agent solves long-horizon problems with m...
Related: #AI Research, #Information Retrieval -
🇺🇸 Perceptual Self-Reflection in Agentic Physics Simulation Code Generation
[USA]
arXiv:2602.12311v1 Announce Type: cross Abstract: We present a multi-agent framework for generating physics simulation code from natural language descriptions, featuring a novel perceptual self-refle...
Related: #Artificial Intelligence, #Physics Simulation, #Natural Language Processing -
🇺🇸 Who Deserves the Reward? SHARP: Shapley Credit-based Optimization for Multi-Agent System
[USA]
arXiv:2602.08335v1 Announce Type: new Abstract: Integrating Large Language Models (LLMs) with external tools via multi-agent systems offers a promising new paradigm for decomposing and solving comple...
Related: #Artificial Intelligence, #Machine Learning