activity
20182026
most citedAutomatic Chain of Thought Prompting in Large Language Models

237 citations · 808 across the 71 of their papers we have counts for

collaborators

88 papers

cs.AI2026

Communication Policy Evolution for Proactive LLM Agents

Xinbei Ma, Jiyang Qiu, Yao Yao +10

LLM agents have rapidly evolved into autonomous systems, yet a persistent information gap remains between users and agents: communication is costly, while users' identical preferen…

cs.CL2026

Retrospective Progress-Aware Self-Refinement for LLM Agent Training

Xinbei Ma, Congmin Zheng, Jiyang Qiu +10

LLM-based agents trained with reinforcement learning optimize step-wise action prediction but lack metacognitive awareness of task progress, inducing a gap that hinders long-horizo…

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.…