most citedNOMAD: A Multi-Agent LLM System for UML Class Diagram Generation from Natural Language Requirements

2 citations · 2 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Janus: A Benchmark for Goal-Conditioned Information Distortion in LLMs

Polydoros Giannouris, Mohsinul Kabir, Sophia Ananiadou

LLM deception is often evaluated through direct markers such as fabricated claims, explicit lies, or strategic concealment. However, many real-world misleading communications do no…

cs.AI2026

Herculean: An Agentic Benchmark for Financial Intelligence

Xueqing Peng, Zhuohan Xie, Yupeng Cao +60

As AI agents improve, the central question is no longer whether they can solve isolated well-defined financial tasks, but whether they can reliably carry out financial professional…

cs.AI2026

Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading

Polydoros Giannouris, Yuechen Jiang, Lingfei Qian +5

Many sequential decision-making problems exhibit hierarchical structure, where high-level semantic choices constrain downstream actions and feedback is delayed and ambiguous. Learn…

cs.SE20262 cited

NOMAD: A Multi-Agent LLM System for UML Class Diagram Generation from Natural Language Requirements

Polydoros Giannouris, Sophia Ananiadou

Large Language Models (LLMs) are increasingly utilised in software engineering, yet their ability to generate structured artefacts such as UML diagrams remains underexplored. In th…

cs.CL2026

Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection

Zhiwei Liu, Yupen Cao, Yuechen Jiang +22

Large language models (LLMs) have been widely applied across various domains of finance. Since their training data are largely derived from human-authored corpora, LLMs may inherit…

cs.CL2025

Semantic Label Drift in Cross-Cultural Translation

Mohsinul Kabir, Tasnim Ahmed, Md Mezbaur Rahman +2

Machine Translation (MT) is widely employed to address resource scarcity in low-resource languages by generating synthetic data from high-resource counterparts. While sentiment pre…