4 citations · 13 across the 12 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
PAWS: Policy-driven Agentic World Simulation
Tiviatis Sim, Jia Hui Woon, Xinming Gao +5
Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect th…
cs.AI2024★ 4 cited
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie, Anirudh Goyal, Wenyue Zheng +4
We introduce an approach aimed at enhancing the reasoning capabilities of Large Language Models (LLMs) through an iterative preference learning process inspired by the successful s…