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Ensheng Shi

ACL 2026×2ICML 2026强化学习与后训练代码多语言与语言学可解释性数据与预训练
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合作网络12
0 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
作者位次 #4/5ICML 2026Poster· Deep Learning / Large Language Models

GXPO: Group Cross-Lingual Relative Policy Optimization for Code Generation

Linzheng Chai · Jian Yang · Jiajun Wu · Ensheng Shi · Xianglong Liu

强化学习与后训练代码多语言与语言学OpenReview
作者位次 #6/9ACL 2026Findings· Findings of ACL

UC oder: Unsupervised Code Generation by Internal Probing of Large Language Models

Jiajun Wu · Jian Yang · Wei Zhang · Linzheng Chai · Yuchi Ma · Ensheng Shi · Yuqing Ma · Zhoujun Li · Xianglong Liu

摘要

Large language models (LLMs) have demonstrated remarkable capabilities in code generation tasks. However, their effectiveness heavily relies on supervised training with extensive labeled (e.g., question-answering pairs) or unlabeled datasets (e.g., code snippets), which are often expensive and di...

可解释性数据与预训练强化学习与后训练OpenReview 项目页
作者位次 #8/11ACL 2026Findings· Findings of ACL

From Conversation to Evaluation: Benchmarking LLM s on Development Knowledge via S imple D ev QA

Jing Zhang · Lianghong Guo · Yanlin Wang · Terry Yue Zhuo · Yong Wang · Mingwei Liu · Jiachi Chen · Ensheng Shi · Yuchi Ma · Hongyu Zhang · Zibin Zheng

摘要

The Development Knowledge Question Answering (Dev Knowledge QA) task aims to provide accurate natural language answers to knowledge-seeking questions during software development. To investigate the importance of Dev Knowledge QA in AI-assisted software development and the extent to which it has b...

检索与知识评测与基准代码OpenReview 项目页

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