works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.AI2026

MatrAIx: Simulating the World with 8.3 Billion Persona Agents

Xiaomin Li, Yuexing Hao, Jianheng Hou +90

Human evaluation of AI systems and digital products is costly, slow, and difficult to scale. Offline evaluations are more scalable but often abstract away human diversity and inter…

cs.CL2026

ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memory

Yongye Su, Wujiang Xu, Chaoji Zuo +1

ChronoMem adds a semantic version‑control layer to large language model agents, allowing them to snapshot, browse, and roll back their long‑term memory using natural‑language reque…

cs.DB2026

TabClean: Reusable LLM-Synthesized Programs for Tabular Data Cleaning

Yibo Wang, Riteng Zhang, Yinghao He +3

Reliable analytics and machine-learning pipelines depend on clean tabular data, yet production tables often contain missing values, typographical errors, inconsistent formats, viol…

cs.CL2025

Auto-Prompt Generation is Not Robust: Prompt Optimization Driven by Pseudo Gradient

Zeru Shi, Zhenting Wang, Yongye Su +5

While automatic prompt generation methods have recently received significant attention, their robustness remains poorly understood. In this paper, we introduce PertBench, a compreh…

cs.DB2025

Castle: Causal Cascade Updates in Relational Databases with Large Language Models

Yongye Su, Yucheng Zhang, Zeru Shi +2

This work introduces Castle, the first framework for schema-only cascade update generation using large language models (LLMs). Despite recent advances in LLMs for Text2SQL code gen…

cs.HC2025

From Commands to Prompts: LLM-based Semantic File System for AIOS

Zeru Shi, Kai Mei, Mingyu Jin +9

Large language models (LLMs) have demonstrated significant potential in the development of intelligent applications and systems such as LLM-based agents and agent operating systems…