Haishuo Fang — accepted AI-conference papers

2025

Preemptive Detection and Correction of Misaligned Actions in LLM Agents

Haishuo Fang, Xiaodan Zhu, Iryna Gurevych

EMNLP 2025

Deploying LLM-based agents in real-life applications often faces a critical challenge: the misalignment between agents’ behavior and user intent. Such misalignment may lead agents to unintentionally execute some critical actions that carry negative outcomes (e.g., accidentally triggering a buy-now i

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2024

DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs

Haishuo Fang, Xiaodan Zhu, Iryna Gurevych

ACL 2024findings

Answering Questions over Knowledge Graphs (KGQA) is key to well-functioning autonomous language agents in various real-life applications. To improve the neural-symbolic reasoning capabilities of language agents powered by Large Language Models (LLMs) in KGQA, we propose the Decomposition-Alignment-R…

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