Papers Multi-agent Integration
“Multi-agent Integration” 태그가 달린 논문 9편 · 필터 해제
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 IntegrationAgentScope: A Flexible yet Robust Multi-Agent Platform
With the rapid advancement of Large Language Models (LLMs), significant progress has been made in multi-agent applications. However, the complexities in coordinating agents' cooperation and LLMs' erratic performance pose…
Multi-agent IntegrationOne Agent To Rule Them All: Towards Multi-agent Conversational AI
The increasing volume of commercially available conversational agents (CAs) on the market has resulted in users being burdened with learning and adopting multiple agents to accomplish their tasks. Though prior work has e…
AllConversational Response SelectionMulti-agent IntegrationText ClassificationSMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT
Nowadays, IoT devices have an enlarging scope of activities spanning from sensing, computing to acting and even more, learning, reasoning and planning. As the number of IoT applications increases, these objects are becom…
Multi-agent Integration