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20242026
most citedAI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator

6 citations · 11 across the 25 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM Agents

Yifan Li, Shengbin Yue, Boyu Feng +6

The integration of external tools has transitioned LLM agents from passive responders to autonomous systems. However, current benchmarks prioritize execution success, neglecting se…

cs.AI2026

MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution

Libo Sun, Jiwen Zhang, Siyuan Wang +1

Mobile GUI agents powered by large foundation models enable autonomous task execution, but frequent updates altering UI appearance and reorganizing workflows cause agents trained o…

cs.AI2025

HardcoreLogic: Challenging Large Reasoning Models with Long-tail Logic Puzzle Games

Jingcong Liang, Shijun Wan, Xuehai Wu +5

Large Reasoning Models (LRMs) have demonstrated impressive performance on complex tasks, including logical puzzle games that require deriving solutions satisfying all constraints.…

cs.AI2025

Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments

Zheng Jia, Shengbin Yue, Wei Chen +5

The gap between static benchmarks and the dynamic nature of real-world legal practice poses a key barrier to advancing legal intelligence. To this end, we introduce J1-ENVS, the fi…

cs.AI2024

Identity-Driven Hierarchical Role-Playing Agents

Libo Sun, Siyuan Wang, Xuanjing Huang +1

Utilizing large language models (LLMs) to achieve role-playing has gained great attention recently. The primary implementation methods include leveraging refined prompts and fine-t…