2 papers
cs.RO2026
Bridging Thought and Action: Taming Long-Horizon Instability in Open-Source LLM Agents with a MetaTool-Enhanced ROS Framework
Kazi Abrar Mahmud, Nilotpaul Kundu Dhurubo, Tamal Kirttonia +2
Large Language Models (LLMs) have enabled more natural human-robot interaction, but open-source models often exhibit unstable long-horizon reasoning and inefficient action executio…
cs.CL2026
Listen to the Layers: Mitigating Hallucinations with Inter-Layer Disagreement
Koduvayur Subbalakshmi, Sabbir Hossain Ujjal, Venkata Krishna Teja Mangichetty +1
Pretrained Large Language Models (LLMs) are prone to generating fluent yet factually incorrect text-a phenomenon known as hallucinations, undermining their reliability and utility…