Multi-agent Integration
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Benchmarks
BBAI Dataset
Most implemented
Autonomous Agents for Collaborative Task under Information Asymmetry
Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
AgentScope: A Flexible yet Robust Multi-Agent Platform
One Agent To Rule Them All: Towards Multi-agent Conversational AI
Papers
Reconceptualizing Smart Microscopy: From Data Collection to Knowledge Creation by Multi-Agent Integration
Smart microscopy represents a paradigm shift in biological imaging, moving from passive observation tools to active collaborators in scientific inquiry. Enabled by advances in automation, computational power, and artific…
Multi-agent IntegrationFrom An LLM Swarm To A PDDL-Empowered HIVE: Planning Self-Executed Instructions In A Multi-Modal Jungle
In response to the call for agent-based solutions that leverage the ever-increasing capabilities of the deep models' ecosystem, we introduce Hive -- a comprehensive solution for selecting appropriate models and subsequen…
AI AgentFormal LogicKnowledge GraphsMulti-agent Integration+1Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach
Large Language Models (LLMs) often perpetuate biases in pronoun usage, leading to misrepresentation or exclusion of queer individuals. This paper addresses the specific problem of biased pronoun usage in LLM outputs, par…
Bias DetectionFairnessMulti-agent IntegrationPRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking
PRefLexOR (Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning) combines preference optimization with concepts from Reinforcement Learning to enable models to self-teach through iterati…
Language ModelingLanguage ModellingMulti-agent IntegrationAutonomous Agents for Collaborative Task under Information Asymmetry
Large Language Model Multi-Agent Systems (LLM-MAS) have achieved great progress in solving complex tasks. It performs communication among agents within the system to collaboratively solve tasks, under the premise of shar…
Language ModellingLarge Language ModelMulti-agent IntegrationAutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
Despite extensive pre-training in moral alignment to prevent generating harmful information, large language models (LLMs) remain vulnerable to jailbreak attacks. In this paper, we propose AutoDefense, a multi-agent defen…
Instruction FollowingLLM real-life tasksMulti-agent Integration