activity
20242026
collaborators

12 papers

cs.CL2026

XCR-Bench: Benchmarking Cross-Cultural Reasoning in LLMs via Culture-Specific Items and Hall's Triad

Mohsinul Kabir, Tasnim Ahmed, Md Mezbaur Rahman +5

Cross-cultural competence in large language models (LLMs) requires understanding and adapting Culture-Specific Items (CSIs) across varying cultural contexts. However, progress in e…

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.CE2026

AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection

Zhiwei Liu, Yangyang Yu, Yupeng Cao +8

LLM-based financial agents increasingly rely on both numerical market data and textual signals for sequential trading and stock prediction. However, financial misinformation often…

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.CE2026

MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model

Zhiwei Liu, Yuyan Wang, Yuechen Jiang +8

Financial misinformation poses significant threats to financial market stability and individuals' investment decisions. The multilingual environment and the inherent complexity of…

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…