3 citations · 3 across the 3 of their papers we have counts for
4 papers
When Charts Deceive Web Agents: A Paired Benchmark for Misleading Visualization-Grounded Tasks
Yisheng Li, Dongming Han, Hongkun Pan +5
Web agents increasingly browse, interpret, and act on web content on behalf of users. In many realistic workflows, however, the visual evidence they consume is not neutral: charts…
SGCR: A Specification-Grounded Framework for Trustworthy LLM Code Review
Kai Wang, Bingcheng Mao, Shuai Jia +4
Automating code review with Large Language Models (LLMs) shows immense promise, yet practical adoption is hampered by their lack of reliability, context-awareness, and control. To…
ArchAgent: Scalable Legacy Software Architecture Recovery with LLMs
Rusheng Pan, Bingcheng Mao, Tianyi Ma +1
Recovering accurate architecture from large-scale legacy software is hindered by architectural drift, missing relations, and the limited context of Large Language Models (LLMs). We…
Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction
Yujie Ding, Shuai Jia, Tianyi Ma +4
The remarkable achievements and rapid advancements of Large Language Models (LLMs) such as ChatGPT and GPT-4 have showcased their immense potential in quantitative investment. Trad…