most citedIntegrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

3 citations · 3 across the 4 of their papers we have counts for

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cs.AI2026

Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents

Yuanhong Jiang, Jingjie Zou, Rui Jiang +5

Investment competence is inherently personalized: the same market evidence can justify different actions for investors with different goals, horizons, portfolios, and risk boundari…

cs.AI2026

BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation

Xin Guo, Rongjunchen Zhang, Guilong Lu +4

Large language models are becoming increasingly significant in financial applications. Nevertheless, prevailing benchmarks are largely dependent on simulated or generic data, which…