activity
20242026
most citedTrae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation

Sixiang Chen, Zhaohu Xing, Tian Ye +7

Open-ended image generation is no longer a simple prompt-to-image problem. High-quality generation often requires an agent to combine a model's internal generative ability with ext…

cs.SE2026

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents

Murong Ma, Tianyu Chen, Yun Lin +7

Supervised fine-tuning (SFT) on long teacher trajectories is the dominant way to instill investigation and reasoning in open software-engineering (SWE) agents. Since every retained…

cs.AI2026

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?

Jieting Xiao, Yun Lin, Huizhen Qiu +10

While Large Language Models have achieved remarkable integration in various vertical scenarios, their deployment in the telecommunications domain remains exploratory due to the lac…

cs.SE2025★ 2 cited

Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

Trae Research Team, Pengfei Gao, Zhao Tian +12

Software issue resolution is a critical challenge in software engineering and has garnered increasing attention in recent years. With the rapid advancement of large language models…

cs.SE2024

AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions

Xinchen Wang, Pengfei Gao, Xiangxin Meng +4

In software maintenance, bug reproduction is essential for effective fault localization and repair. Manually writing reproduction scripts is a time-consuming task with high require…

cs.SE2024

An LLM-based Readability Measurement for Unit Tests' Context-aware Inputs

Zhichao Zhou, Yutian Tang, Yun Lin +1

Automated test techniques usually generate unit tests with higher code coverage than manual tests. However, the readability of automated tests is crucial for code comprehension and…