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Yueqing Liang

3 accepted papers

2026

Benchmarking LLMs for Political Science: A United Nations Perspective

AAAI 2026technical

Large Language Models (LLMs) have achieved significant advances in natural language processing, yet their potential for high-stake political decision-making remains largely unexplored. This paper addresses the gap by focusing on the application of LLMs to the United Nations (UN) decision-making proc

Cited by 0SourcePDFScholar
2025

Piecing It All Together: Verifying Multi-Hop Multimodal Claims

COLING 2025main

Existing claim verification datasets often do not require systems to perform complex reasoning or effectively interpret multimodal evidence. To address this, we introduce a new task: multi-hop multimodal claim verification. This task challenges models to reason over multiple pieces of evidence from…

2025

Taxonomy-Guided Zero-Shot Recommendations with LLMs

COLING 2025main

With the emergence of large language models (LLMs) and their ability to perform a variety of tasks, their application in recommender systems (RecSys) has shown promise. However, we are facing significant challenges when deploying LLMs into RecSys, such as limited prompt length, unstructured item inf…