Liting Zhang — accepted AI-conference papers

2026

AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning

Xuyang Zhao, Shiwan Zhao, Hualong Yu, Liting Zhang, Qicheng Li

AAAI 2026technical

Multi-agent systems (MAS) powered by large language models (LLMs) hold significant promise for solving complex decision-making tasks. However, the core process of collaborative decision-making (CDM) within these systems remains underexplored. Existing approaches often rely on either "dictatorial" st

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2026

MAPEX: A MULTI-AGENT PIPELINE FOR KEYPHRASE EXTRACTION

Liting Zhang

ICASSP 2026poster

Keyphrase extraction is a fundamental task in natural language processing. However, existing unsupervised prompt-based methods for Large Language Models (LLMs) often rely on single-stage inference pipelines with uniform prompting, regardless of document length or LLM backbone. Such one-size-fits-all…

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