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20212026
most citedOpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving?

2 citations · 2 across the 12 of their papers we have counts for

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cs.AI2026

From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models

Jiale Han, Xiang Li, Jing Qian +7

Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modeling heterogeneous agents, their beliefs and actions, and the mark…

cs.AI2026

Agent-UCT: Upper Confidence Bounds Applied to Trees for Cost-Aware Agentic Workflow Optimization

Yang Li, Hai Liu, Dian Shao +9

Workflow search pays for complete quality observations, whose execution cost changes as reusable prefixes accumulate. AgentUCT uses an economic model of the remaining evaluation co…

cs.AI2026

StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems

Sergey Volkov, Yang Li, Ye Luo

Agent systems accumulate conflicting observations across branches, retries, and replicas, yet many practical memory layers still collapse disagreement behind overwrite rules that a…

cs.AI2025

Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent

Chunlong Wu, Ye Luo, Zhibo Qu +1

Large language model (LLM) agents achieve impressive single-task performance but commonly exhibit repeated failures, inefficient exploration, and limited cross-task adaptability. E…

cs.AI2024★ 2 cited

OpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving?

Leo Li, Ye Luo, Tingyou Pan

The Orion-1 model by OpenAI is claimed to have more robust logical reasoning capabilities than previous large language models. However, some suggest the excellence might be partial…