Library Science and Information Systems

Derniers papiers

• Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences

  Batu El, James Zou · 2 octobre 2026

  Large language models (LLMs) are increasingly shaping how information is created and disseminated, from companies using them to craft persuasive advertisements, to election campaigns optimizing messaging to gain votes, to social media influencers boosting engagement. These settings are inherently co…

• Editorial Alignment: A Participatory Approach to Engaging Editorial Expertise in LLM-mediated Knowledge Dissemination

  Simon Aagaard Enni, Malthe Stavning Erslev, Karl-Emil Kj{\ae}r Bilstrup, Kristoffer Laigaard Nielbo · 19 juin 2026

  The emergence of LLM-driven information services is reshaping the conditions under which public knowledge institutions operate, threatening to absorb the editorial function these institutions exist to exercise. While LLMs offer powerful new affordances for knowledge dissemination, editorial authorit…

• Making a Name for Myself: On Academic Naming Policies and their Impact

  A Pranav, Vagrant Gautam, Martin Mundt, Jordan Taylor, Arjun Subramonian, Franziska Sofia Hafner, Daniel Chechelnitsky, William Agnew, Anne Lauscher · 10 juin 2026

  In academic publishing, names connect scholars to their work. When scholars change their names, including for marriage, academic recognition, or gender transition, they may lose credit for past publications.However, despite significant impacts on citation accuracy and researcher well-being, no exist…

• Beyond Public Access in LLM Pre-Training Data

  Sruly Rosenblat, Tim O'Reilly, Ilan Strauss · 7 mai 2026

  Using a legally obtained dataset of 34 copyrighted O'Reilly Media books, we apply the DE-COP membership inference attack method to investigate whether OpenAI's large language models show recognition of copyrighted content. Our results based on this small sample suggest that GPT-4o, OpenAI's more rec…

• Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature?

  Hye Sun Yun, Karen Y. C. Zhang, Ramez Kouzy, Iain J. Marshall, Junyi Jessy Li, Byron C. Wallace · 24 avril 2026

  Medical research faces well-documented challenges in translating novel treatments into clinical practice. Publishing incentives encourage researchers to present "positive" findings, even when empirical results are equivocal. Consequently, it is well-documented that authors often spin study results, …

• Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL

  Yue Li, David Mimno, Unso Eun Seo Jo · 27 mars 2026

  Translating natural language to SQL for data retrieval has become more accessible thanks to code generation LLMs. But how hard is it to generate SQL code? While databases can become unbounded in complexity, the complexity of queries is bounded by real life utility and human needs. With a sample of 3…

• propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale

  Maximilian Idahl, Benedikt Droste, Björn Plüster, Jan Philipp Harries · 16 février 2026

  Since FineWeb-Edu, data curation for LLM pretraining has predominantly relied on single scalar quality scores produced by small classifiers. A single score conflates multiple quality dimensions, prevents flexible filtering, and offers no interpretability. We introduce propella-1, a family of small m…

• Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs

  Changhao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai · 6 novembre 2025

  Despite the impressive generative abilities of black-box large language models (LLMs), their inherent opacity hinders further advancements in capabilities such as reasoning, planning, and personalization. Existing works aim to enhance LLM capabilities via domain-specific adaptation, which require ad…