arXiv AI July 24, 2026 By Xiang Zheng, Xi Hong, Jialin Liu, Chaoqun Ni

Scientific exploration, collaboration and labor division in the large language model era

arXiv:2607. 20923v1 Announce Type: cross Abstract: Large language models (LLMs) have rapidly and significantly entered scientific workflows, but it remains unclear how their diffusion is associated with changes in scientists' strategies in research directions and team building.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI

Jul 7

The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding

arXiv:2601. 15485v3 Announce Type: replace-cross Abstract: Federal research funding shapes the direction, diversity, and impact of the US scientific enterprise.

By Yifan Qian, Zhe Wen, Alexander C. Furnas, Yue Bai, Erzhuo Shao, Dashun Wang

llms

arXiv AI

Jul 21

Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries

arXiv:2607. 16989v1 Announce Type: cross Abstract: Introduction.

By Mohammad Arvan, Amber E. Osterholt, Bailee Rue, Yuvaneswaren Ramakrishnan Sureshbabu, Krishna Riteshkumar Patel, Rebecca T. Feinstein, Bethany C. Bray, Niranjan S. Karnik

agents

arXiv Machine Learning

Aug 4

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems

arXiv:2506. 17467v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society.

By Weixin Liang

llms

arXiv AI

Jul 17

The Industrialization of Research ; On AI-Driven Science and Its Consequences

arXiv:2607. 15164v1 Announce Type: new Abstract: Artificial intelligence is transforming scientific research - not merely as a more powerful instrument, but as an autonomous participant in the research cycle itself.

By Emmanuel Jeannot

agents

arXiv AI

2d ago

Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen

arXiv:2608. 13884v1 Announce Type: cross Abstract: The rapid adoption of AI coding assistants and autonomous agentic development systems has coincided with major changes in the pace and structure of open-source software engineering.

By Jiada Li, Xuesong Ye, Olamide Olowoniyi

agents efficiency

arXiv Machine Learning

Jun 5

A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects

arXiv:2509. 25397v2 Announce Type: replace-cross Abstract: The proliferation of open large language models (LLMs) is fostering a vibrant ecosystem in artificial intelligence (AI).

By Johan Lin{\aa}ker, Cailean Osborne, Jennifer Ding, Ben Burtenshaw

llms

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The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding

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