activity
20202026
most citedLearning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models

42 citations · 104 across the 22 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CE2026

AlphaPADI: Formulaic Alpha Discovery via Pool-Aware Hierarchical Discrete Diffusion

Yanzheng Jin, Pengyang Shao, Yunshan Ma +5

Formulaic alpha discovery seeks symbolic expressions that predict cross-sectional asset returns. In deployment, multiple formulas are combined into an alpha pool, where each formul…

cs.AI2026

AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation

Yajing Yang, Yunshan Ma, Kelvin J. L. Koa +1

We argue that financial report generation should operate at the analytical rather than structural level, composing content from data-derived insights rather than high-level topics…

cs.IR2026

FashionKG-RAG: Knowledge Graph-Enhanced Retrieval-Augmented Generation for Fashion Question Answering

Yujuan Ding, Linyin Luo, Shijie Wang +5

Fashion is a knowledge-intensive domain in which effective decision-making depends on integrating multiple types of knowledge. Although Large Language Models (LLMs) have transforme…

cs.IR2026

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation

Yujuan Ding, Junrong Liao, Yunshan Ma +4

Personalized outfit recommendation poses a significant challenge in e-commerce and social media platforms, requiring systems that balance user preferences with aesthetic compatibil…

cs.LG2026

ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting

Haoxuan Li, He Chang, Yunshan Ma +4

Event forecasting is inherently influenced by multifaceted considerations, including international relations, regional historical dynamics, and cultural contexts. However, existing…

cs.IR2026

iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification

Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang +2

Addressing itinerary modification is crucial for enhancing the travel experience as it is a frequent requirement during traveling. However, existing research mainly focuses on fixe…