works on

From the 1 of 37 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.AIShow all

7 papers · 1 filter

cs.AI2026

Monte Carlo Tree Search for Table-to-Multimodal Report Generation

Teng Lin, Zhiyang Zhang, Yuyu Luo +1

Automatically generating professional multimodal reports comprising both textual analysis and visual charts from structured tabular data is a critical challenge in data intelligenc…

cs.AI2026

EVOQUANT: Self-Evolving Verifier-Guided Strategy Optimization for Robust Quantitative Trading

Jie Mao, Changlun Li, Xiang Li +7

EVOQUANT is a framework that uses large language models together with a verifier pipeline to automatically diagnose, edit, and improve quantitative trading strategies, achieving hi…

cs.AI2026

Can Agentic Trading Systems Pay for Their Own Intelligence?

Qiqi Duan, Changlun Li, Chen Wang +10

Large language model (LLM) agents are increasingly used in trading systems, where model reasoning, tool use, and continual decisions incur costs that are expected to produce tradin…

cs.AI2026

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market

Yao Shi, Kingfung Luo, Nan Tang +1

Niche asset markets, such as Counter-Strike 2 (CS2) weapon skins, are small, volatile, and heavily driven by community discussions and platform rules. These properties make them ha…

cs.AI2026

TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering

Tung Sum Thomas Kwok, Xinyu Wang, Xiaofeng Lin +7

Multimodal reasoning has emerged as a powerful framework for enhancing reasoning capabilities of reasoning models. While multi-turn table reasoning methods have improved reasoning…

cs.AI20261 cited

DocSage: An Information Structuring Agent for Multi-Doc Multi-Entity Question Answering

Teng Lin, Yizhang Zhu, Zhengxuan Zhang +2

Multi-document Multi-entity Question Answering inherently demands models to track implicit logic between multiple entities across scattered documents. However, existing Large Langu…