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Beijun Shen

ACL 2026×2AAAI 2026ICML 2026代码评测与基准多模态检索与知识效率与系统
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0 一作 · 4 篇 · ACL 2026 / AAAI 2026 / ICML 2026

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2026 顶会论文

4
作者位次 #4/4ICML 2026Poster· Applications / Language, Speech and Dialog

Rethinking Code Complexity Through the Lens of Large Language Models

Chen Xie · Xiaodong Gu · Yuling Shi · Beijun Shen

多模态代码OpenReview
作者位次 #5/6ACL 2026Findings· Findings of ACL

SWE - QA : Can Language Models Answer Repository-level Code Questions?

Weihan Peng · Yuling Shi · Yuhang Wang · Xinyun Zhang · Beijun Shen · Xiaodong Gu

摘要

Understanding and reasoning about entire soft-ware repositories is an essential capability for intelligent software engineering tools. While existing benchmarks such as CoSQA and CodeQA have advanced the field, they predominantly focus on small, self-contained code snippets. These setups fail to...

代码评测与基准检索与知识OpenReview 项目页
作者位次 #6/7ACL 2026Findings· Findings of ACL

G limp R outer: Efficient Collaborative Inference by Glimpsing One Token of Thoughts

Wenhao Zeng · Xuteng Zhang · Yuling Shi · Chao Hu · Yuting Chen · Beijun Shen · Xiaodong Gu

摘要

Large Reasoning Models (LRMs) achieve remarkable performance by explicitly generating multi-step chains of thought, but this capability incurs substantial inference latency and computational cost. Collaborative inference offers a promising solution by selectively allocating work between lightweig...

效率与系统评测与基准推理OpenReview 项目页
作者位次 #4/4AAAI 2026Poster· Artificial Intelligence

Anti-adversarial Learning: Desensitizing Prompts for Large Language Model

Xuan Li · Zhe Yin · Xiaodong Gu · Beijun Shen

常见合作者