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20182026
most citedAutomatic Chain of Thought Prompting in Large Language Models

237 citations · 1.2k across the 87 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.AI2025

Chain-of-Trigger: An Agentic Backdoor that Paradoxically Enhances Agentic Robustness

Jiyang Qiu, Xinbei Ma, Yunqing Xu +2

The rapid deployment of large language model (LLM)-based agents in real-world applications has raised serious concerns about their trustworthiness. In this work, we reveal the secu…

cs.AI2025

ParaCook: On Time-Efficient Planning for Multi-Agent Systems

Shiqi Zhang, Xinbei Ma, Yunqing Xu +7

Large Language Models (LLMs) exhibit strong reasoning abilities for planning long-horizon, real-world tasks, yet existing agent benchmarks focus on task completion while neglecting…

cs.CL2025★ 1 cited

The Hunger Game Debate: On the Emergence of Over-Competition in Multi-Agent Systems

Xinbei Ma, Ruotian Ma, Xingyu Chen +14

LLM-based multi-agent systems demonstrate great potential for tackling complex problems, but how competition shapes their behavior remains underexplored. This paper investigates th…

cs.CL2025

How Deep is Love in LLMs' Hearts? Exploring Semantic Size in Human-like Cognition

Yao Yao, Yifei Yang, Xinbei Ma +4

How human cognitive abilities are formed has long captivated researchers. However, a significant challenge lies in developing meaningful methods to measure these complex processes.…

cs.AI2025

Plan-over-Graph: Towards Parallelable LLM Agent Schedule

Shiqi Zhang, Xinbei Ma, Zouying Cao +2

Large Language Models (LLMs) have demonstrated exceptional abilities in reasoning for task planning. However, challenges remain under-explored for parallel schedules. This paper in…