Abstract: The integration of large language models (LLMs) into robotic task planning has unlocked better reasoning capabilities for complex, long-horizon workflows. However, ensuring safety in ...
Abstract: In this paper, we propose a multi-agent task planning framework called Fuzzy-LLM, which leverages large language models to transform highly abstract and ambiguous task instructions into ...
The code for TLoRA: Task-aware Low Rank Adaptation of Large Language Models (ACL2026 Main) Low-Rank Adaptation (LoRA) has become a widely adopted parameter-efficient fine-tuning method for large ...
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