works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.SE2026

Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments

Haomin Qi, Xingliang Wang, Xuanqi Gao +9

The paper introduces Change2Task, a system that turns merged pull requests from software repositories into verified, executable coding‑agent tasks by reconstructing the code state…

cs.AI2026

Domain-Specialized Tree of Thought through Plug-and-Play Predictors

Xuanqi Gao, Haoyu Wang, Jun Sun +2

While Large Language Models (LLMs) have advanced complex reasoning, prominent methods like the Tree of Thoughts (ToT) framework face a critical trade-off between exploration depth…

cs.AI2025

MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models

Xuanqi Gao, Siyi Xie, Juan Zhai +2

As Large Language Models (LLMs) evolve from passive text generators to active reasoning agents capable of interacting with external tools, the Model Context Protocol (MCP) has emer…

cs.CL2025

Mitigating Stylistic Biases of Machine Translation Systems via Monolingual Corpora Only

Xuanqi Gao, Weipeng Jiang, Juan Zhai +4

The advent of neural machine translation (NMT) has revolutionized cross-lingual communication, yet preserving stylistic nuances remains a significant challenge. While existing appr…

cs.SE2025

ASSURE: Metamorphic Testing for AI-powered Browser Extensions

Xuanqi Gao, Juan Zhai, Shiqing Ma +2

The integration of Large Language Models (LLMs) into browser extensions has revolutionized web browsing, enabling sophisticated functionalities like content summarization, intellig…

cs.SE2025

From Effectiveness to Efficiency: Uncovering Linguistic Bias in Large Language Model-based Code Generation

Weipeng Jiang, Xuanqi Gao, Juan Zhai +4

Large Language Models (LLMs) have demonstrated promising capabilities for code generation. While existing benchmarks evaluate the correctness and efficiency of LLM-generated code,…