From the 1 of 5 linked papers with an AI index.
5 papers
Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
Ziting Wang, Yin Li, Zuhao Yang +3
The paper presents TOFFEE, a system that uses Monte Carlo Tree Search and learned cost models to automatically generate data‑agent interaction trajectories for diverse data environ…
Understanding Implicit Trust Errors in Core Carrier Networks through Multi-Agent Flaw Discovery and Analysis
Ziyu Lin, Ziting Wang, Xinfeng Li +2
Cellular core networks (CNs) are critical infrastructure, yet their internal security model has historically relied on physical isolation: interfaces between core components often…
Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
Kuncan Wang, Ziting Wang, Peizhuo Lv +4
Data agents integrate LLM-driven reasoning with relational data access, executable analytical tools, and multi-step workflow orchestration, making them increasingly central to ente…
FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data
Ziting Wang, Shize Zhang, Haitao Yuan +3
The growing demand for data-driven decision-making has created an urgent need for data agents that can reason over heterogeneous data (databases, documents, web content, images, vi…
CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG
Ziting Wang, Haitao Yuan, Wei Dong +2
Large Language Models (LLMs) have demonstrated impressive ability in generation and reasoning tasks but struggle with handling up-to-date knowledge, leading to inaccuracies or hall…