most citedFinEvo: From Isolated Backtests to Ecological Market Games for Multi-Agent Financial Strategy Evolution

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

physics.soc-ph20261 cited

FinEvo: From Isolated Backtests to Ecological Market Games for Multi-Agent Financial Strategy Evolution

Mingxi Zou, Jiaxiang Chen, Aotian Luo +4

Conventional financial strategy evaluation relies on isolated backtests in static environments. Such evaluations assess each policy independently, overlook correlations and interac…

cs.AI2025

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs

Jiaxiang Chen, Zhuo Wang, Mingxi Zou +4

Large language models (LLMs) have advanced general-purpose reasoning, showing strong performance across diverse tasks. However, existing methods often rely on implicit exploration,…

cs.IR2025

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection

Jiale Zhang, Jiaxiang Chen, Zhucong Li +5

Retrieval-Augmented Generation (RAG) enhances language models by incorporating external knowledge at inference time. However, graph-based RAG systems often suffer from structural o…

cs.LG2025

FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making

Jiaxiang Chen, Mingxi Zou, Zhuo Wang +4

Financial decision-making presents unique challenges for language models, demanding temporal reasoning, adaptive risk assessment, and responsiveness to dynamic events. While large…

cs.MM2025

Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision

Che Liu, Yingji Zhang, Dong Zhang +13

This work proposes an industry-level omni-modal large language model (LLM) pipeline that integrates auditory, visual, and linguistic modalities to overcome challenges such as limit…