← Search

Jiandong Chen

2 accepted papers

2026

AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining

ICLR 2026poster

Formulaic alpha factor mining (FAFM) is a central problem in quantitative investment, where interpretable formulas are designed to extract predictive signals from historical financial series. With the emergence of large language models (LLMs), recent studies have begun to explore their roles in FAFM…

Cited by 0SourceScholar
2026

SenseSearch: Empowering Vision-Language Models with High-Resolution Agentic Search-Reasoning via Reinforcement Learning

CVPR 2026

Vision-Language Models (VLMs) are limited by static knowledge and insufficient fine-grained visual analysis, hindering their performance on knowledge-intensive and visually complex tasks. While recent research has explored VLMs that employ external tools like search or cropping to enhance model perf

Cited by 0SourcecodeScholar