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20242026
most citedJust-In-Time Software Defect Prediction via Bi-modal Change Representation Learning

11 citations · 14 across the 14 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

ParaTempo: Efficient Parallel Reasoning via Temporal Confidence

Xuteng Zhang, Wenhao Zeng, Xiaodong Gu +5

Parallel reasoning improves the accuracy and robustness of large reasoning models by exploring multiple solution paths, but its computational cost grows with reasoning depth and br…

cs.SE2026

CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs

Qingxiao Tao, Xiaodong Gu, Hao Zhong +1

Exception handling is a vital forward error-recovery mechanism in many programming languages, enabling developers to manage runtime anomalies through structured constructs (e.g., t…

cs.SE2026

Readability-Robust Code Summarization via Meta Curriculum Learning

Wenhao Zeng, Yitian Chai, Hao Zhou +3

Code summarization has emerged as a fundamental technique in the field of program comprehension. While code language models have shown significant advancements, the current models…

cs.AI2026

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts

Wenhao Zeng, Xuteng Zhang, Yuling Shi +4

Large Reasoning Models (LRMs) achieve remarkable performance by explicitly generating multi-step chains of thought, but this capability incurs substantial inference latency and com…

cs.SE2026★ 1 cited

In Line with Context: Repository-Level Code Generation via Context Inlining

Chao Hu, Wenhao Zeng, Yuling Shi +2

Repository-level code generation has attracted growing attention in recent years. Unlike function-level code generation, it requires the model to understand the entire repository,…