activity
20242026
most citedAgents in Software Engineering: Survey, Landscape, and Vision

5 citations · 15 across the 25 of their papers we have counts for

collaborators
Showing 2026Show all

8 papers · 1 filter

cs.SE2026

Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation

Kefeng Duan, Dewu Zheng, Yanlin Wang +7

Evaluating software engineering agents on realistic benchmarks is costly, since each task may require multi-step code exploration, modification, and test execution. Existing effici…

cs.SE2026

Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation

Kefeng Duan, Dewu Zheng, Yanlin Wang +8

The repository-level code generation task requires synthesizing code that satisfies task requirements while remaining consistent with the target repository context. Since real-worl…

cs.SE2026

SWE-Prime: Fewer Trajectories, Better Performance

Dewu Zheng, Ruizhe Ye, Yanlin Wang +7

To improve large language models' ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervi…

cs.SE2026

From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench

Dewu Zheng, Yanlin Wang, Xiwen Wang +5

In real-world software development, code review typically involves iterative interactions between developers and reviewers to improve software quality, making the process costly an…

cs.AI2026

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents

Tianyue Jiang, Yanlin Wang, Xin He +7

While Large Language Models have greatly advanced automated issue resolution, existing agent-based methods exhibit a fundamental limitation in their insufficient exploration of rep…

cs.SE2026

DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning

Yanlin Wang, Jiadong Wu, Tianyue Jiang +7

Large language models (LLMs) have demonstrated impressive capabilities in code generation by leveraging retrieval-augmented generation (RAG) methods. However, the computational cos…

cs.SE2026

ShortCoder: Knowledge-Augmented Syntax Optimization for Token-Efficient Code Generation

Sicong Liu, Yanxian Huang, Mingwei Liu +6

Code generation tasks aim to automate the conversion of user requirements into executable code, significantly reducing manual development efforts and enhancing software productivit…

cs.SE2026

AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion

Tianyue Jiang, Yanli Wang, Yanlin Wang +5

Repository-level code completion remains a challenging task for existing code large language models (code LLMs) due to their limited understanding of repository-specific context an…