50 citations · 149 across the 28 of their papers we have counts for
4 papers · 1 filter
AI Mathematician: Towards Fully Automated Frontier Mathematical Research
Yuanhang Liu, Yanxing Huang, Yanqiao Wang +2
Large Reasoning Models (LRMs) have made significant progress in mathematical capabilities in recent times. However, these successes have been primarily confined to competition-leve…
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
Zonghan Yang, Peng Li, Ming Yan +3
Language agents have demonstrated autonomous decision-making abilities by reasoning with foundation models. Recently, efforts have been made to train language agents for performanc…
Towards Unified Alignment Between Agents, Humans, and Environment
Zonghan Yang, An Liu, Zijun Liu +11
The rapid progress of foundation models has led to the prosperity of autonomous agents, which leverage the universal capabilities of foundation models to conduct reasoning, decisio…
Budget-Constrained Tool Learning with Planning
Yuanhang Zheng, Peng Li, Ming Yan +3
Despite intensive efforts devoted to tool learning, the problem of budget-constrained tool learning, which focuses on resolving user queries within a specific budget constraint, ha…