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20242026
most citedGCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

4 citations · 5 across the 10 of their papers we have counts for

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cs.AI2026

Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems

CheolWon Na, Hao Ni, Lukasz Szpruch +7

LLM-based multi-agent trading systems, in which specialized agents collaborate through structured communication to produce trading decisions, are moving rapidly from research proto…

cs.AI2026

EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection

Lei Jiang, Ye Wei, Xinyu Xi +7

Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs c…

cs.AI2026

OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents

Kaicheng Zhang, Wen Ge, Lei Jiang +5

Although large language model agents are increasingly applied to quantitative-finance workflows, their evaluation remains fragmented across isolated tasks, while the financial rele…

cs.AI2026

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition

Yifan Bao, Xinyu Xi, Xinyu Liu +8

Automated data science is a structured model-selection problem. A solution must choose data transformations, feature representations, architecture, training procedure, evaluation p…

cs.AI2025

Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective Feedback

Yihao Ang, Yifan Bao, Lei Jiang +4

Time-series data is central to decision-making in financial markets, yet building high-performing, interpretable, and auditable models remains a major challenge. While Automated Ma…