activity
20232026
most citedCopiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

104 citations · 242 across the 12 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.SE2026

From Verification Failures to Reusable Guidance for Coding Agents

Yuqing Zhai, Xiaohong Chen, Lingming Zhang +2

Coding agents need to establish that a program satisfies a specification and that the specification captures the requested behavior. We study how expert diagnosis of verification f…

cs.AI2026

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery

Yuvraj Virk, Zack Edds, Chunqiu Steven Xia +1

Long-running coding agents such as autoresearch can persistently discover optimizations for open-ended problems. However, they tend to converge onto a single high-level approach, t…

cs.CL2026

Code as Agent Harness

Xuying Ning, Katherine Tieu, Dongqi Fu +39

Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generating code, from competitive programming to repository-level software engineerin…

cs.CR2026

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?

Hwiwon Lee, Jiawei Liu, Dongjun Kim +4

Finding a real vulnerability in complicated systems is a challenging, long-horizon task that demands reasoning across an entire codebase to produce a working proof-of-concept (PoC)…

cs.SE2026

AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection

Zijie Zhao, Chenyuan Yang, Weidong Wang +3

While recent LLM-based agents can identify many candidate bugs in source code, their reports remain static hypotheses that require manual validation, limiting the practicality of a…