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Information Retrieval

https://arxiv.org/list/cs.IR/recent
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval Authors and titles for recent submissions Wed, 5 Aug 2026

Information Retrieval

https://arxiv.org/list/cs.IR/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval New submissions Cross-lists Replacements See recent

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https://arxiv.org/pdf/2608.03105
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https://arxiv.org/pdf/2608.13122
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AgentScope 1.0: A Developer-Centric Framework for Building Agentic

https://arxiv.org/html/2508.16279v1
, 2025) has led to remarkable progress in artificial intelligence

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https://arxiv.org/pdf/2509.02523
Flavors of Moonshine: Tiny Specialized ASR Models for Edge DevicesEvan KingAdam SabraManjunath KudlurJames WangPete Wardenhttp://arxiv.org/licenses/nonexclusive-distrib/1.0/cs.CLcs.LGcs.SD endstream endobj 4 0 obj > endobj 5 0 obj > endobj

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https://arxiv.org/pdf/2210.03493
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1 Introduction

https://arxiv.org/html/2407.02518v2
com Abstract Large language models (LLMs) for code are typically trained to align with natural language instructions to closely follow their intentions and requirements