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Peiyu Liu

ACL 2026×3ICML 2026×2检索与知识推理效率与系统评测与基准强化学习与后训练
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0 一作 · 5 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

5
作者位次 #2/4ICML 2026Poster· Reinforcement Learning / Policy Search

Beyond Static Pipelines: Learning Dynamic Workflows for Text-to-SQL

Yihan Wang · Peiyu Liu · Runyu Chen · Wei Xu

强化学习与后训练检索与知识代码OpenReview
作者位次 #2/2ACL 2026Poster· Natural Language Processing

F ast V - RAG : Towards Fast and Fine-Grained Video QA with Retrieval-Augmented Generation

Gen Li · Peiyu Liu

摘要

Vision–Language Models (VLMs) excel at visual reasoning but still struggle with external knowledge integration. Retrieval-Augmented Generation(RAG) is a promising solution, but current methods remain inefficient and often fail to maintain high answer quality. To address these challenges, we propo...

多模态效率与系统检索与知识OpenReview 项目页
作者位次 #2/5ACL 2026Workshop· ACL System Demonstrations

Squrve: A Unified and Modular Framework for Complex Real-World Text-to- SQL Tasks

Yihan Wang · Peiyu Liu · Runyu Chen · Jiaxing Pu · Wei Xu

摘要

Text-to-SQL technology has evolved rapidly, with diverse academic methods achieving impressive results. However, deploying these techniques in real-world systems remains challenging due to limited integration tools. Despite these advances, we introduce Squrve, a unified, modular, and extensive Te...

可解释性评测与基准检索与知识OpenReview 项目页
作者位次 #3/4ACL 2026Findings· Findings of ACL

L ive L ong B ench: Tackling Long-Context Understanding for Spoken Texts from Live Streams

Yongxuan Wu · Runyu Chen · Peiyu Liu · Hongjin Qian

摘要

Long-context understanding poses significant challenges in natural language processing, particularly for real-world dialogues characterized by high redundancy and uneven information density. Although large language models (LLMs) achieve impressive results on existing benchmarks, these datasets fa...

评测与基准推理对齐与偏好OpenReview 项目页

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