#knowledgeagents — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #knowledgeagents, aggregated by home.social.
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New paper on knowledge agents trained via reinforcement learning.
KARL (Knowledge Agents via Reinforcement Learning) proposes a framework where agents learn to retrieve, verify, and integrate information through iterative interaction rather than static prompting. The goal is to make LLM-based systems more reliable in knowledge-intensive tasks by training them to actively reason over external information sources.
https://arxiv.org/abs/2603.05218v1
#AgenticAI #KnowledgeAgents #LLMResearch -
New paper on knowledge agents trained via reinforcement learning.
KARL (Knowledge Agents via Reinforcement Learning) proposes a framework where agents learn to retrieve, verify, and integrate information through iterative interaction rather than static prompting. The goal is to make LLM-based systems more reliable in knowledge-intensive tasks by training them to actively reason over external information sources.
https://arxiv.org/abs/2603.05218v1
#AgenticAI #KnowledgeAgents #LLMResearch -
New paper on knowledge agents trained via reinforcement learning.
KARL (Knowledge Agents via Reinforcement Learning) proposes a framework where agents learn to retrieve, verify, and integrate information through iterative interaction rather than static prompting. The goal is to make LLM-based systems more reliable in knowledge-intensive tasks by training them to actively reason over external information sources.
https://arxiv.org/abs/2603.05218v1
#AgenticAI #KnowledgeAgents #LLMResearch -
New paper on knowledge agents trained via reinforcement learning.
KARL (Knowledge Agents via Reinforcement Learning) proposes a framework where agents learn to retrieve, verify, and integrate information through iterative interaction rather than static prompting. The goal is to make LLM-based systems more reliable in knowledge-intensive tasks by training them to actively reason over external information sources.
https://arxiv.org/abs/2603.05218v1
#AgenticAI #KnowledgeAgents #LLMResearch -
New paper on knowledge agents trained via reinforcement learning.
KARL (Knowledge Agents via Reinforcement Learning) proposes a framework where agents learn to retrieve, verify, and integrate information through iterative interaction rather than static prompting. The goal is to make LLM-based systems more reliable in knowledge-intensive tasks by training them to actively reason over external information sources.
https://arxiv.org/abs/2603.05218v1
#AgenticAI #KnowledgeAgents #LLMResearch