Papers2

#StableToolBench

Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use

Hanbing Liu, Chunhao Tian et al.Feb 12arXiv

This paper tackles a simple but serious question: can AI agents use paid tools to finish multi-step tasks without blowing the budget?

#budget-constrained tool use#agentic LLMs#inference-time planning

From Word to World: Can Large Language Models be Implicit Text-based World Models?

Intermediate

Yixia Li, Hongru Wang et al.Dec 21arXiv

This paper asks if large language models (LLMs) can act like "world models" that predict what happens next in text-based environments, not just the next word in a sentence.

#world models#next-state prediction#text-based environments