works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
collaborators

9 papers

cs.AI2026

NextFund: A Unified Performance Tracking Platform for Agentic Portfolio Management

Changlun Li, Peixian Ma, Qiqi Duan +2

The paper presents NextFund, a platform that records and visualizes the full decision-making process of LLM‑based financial agents in live markets, enabling detailed comparison and…

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.DB2026

Are Diffusion Language Models Good Database Analysts?

Peixian Ma, Xialie Zhuang, Jiantao Tan +3

Recent advancements in large language models (LLMs) have significantly improved Natural Language to SQL (NL2SQL) tasks, yet most NL2SQL systems continue to rely on the autoregressi…

cs.CV2025

Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model

Jiantao Tan, Peixian Ma, Tong Yu +2

Class-incremental learning requires a learning system to continually learn knowledge of new classes and meanwhile try to preserve previously learned knowledge of old classes. As cu…

cs.DB2025

A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?

Xinyu Liu, Shuyu Shen, Boyan Li +7

Translating users' natural language queries (NL) into SQL queries (i.e., Text-to-SQL, a.k.a. NL2SQL) can significantly reduce barriers to accessing relational databases and support…

cs.AI2025

Effective Learning for Small Reasoning Models: An Empirical Study on 0.5B Reasoning LLMs

Xialie Zhuang, Peixian Ma, Zhikai Jia +2

The ongoing evolution of language models has led to the development of large-scale architectures that demonstrate exceptional performance across a wide range of tasks. However, the…