Applied & Human-Centered · Computer Science & AI
Digital Libraries
The newest papers in Digital Libraries that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
83 papers, from 4 September 2026 to 4 November 2026: 83 arXiv preprints.
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Newest papers, page 2
Jaxnasium: Embracing PyTrees For Any-Agent, Cross-Suite Reinforcement Learning
Hardware-accelerated reinforcement learning in JAX has gained rapid popularity in recent years and has proven to be a successful method of scaling online reinforcement learning.Tampered ML: Evaluating LLM Judgment of Machine Learning Research
One approach to accelerating progress on AI alignment is to automate parts of alignment research itself.When More Metadata Misleads: Probing Field-Level Grounding in LLM-Generated Museum Descriptions
Metadata-conditioned generation is often framed as a data-to-text task in which additional input fields should improve grounding.Major Revision, Minor Accountability: LLMs as Reviewers of Published Articles in Top-Tier Journals
With the growth of scientific output, the peer review system is approaching a breaking point: reviewers are increasingly hard to secure, and turnaround times lengthen accordingly.CiteAnchor: Source-Aware Grounding for Hallucinated Citation Detection and Resolution
Hallucinated citations make it harder to trace sources and verify the evidence behind scientific claims.Journal Basket: Supporting Cross-Disciplinary Literature Searching and Methodological Transparency
Business students beginning a research project must learn how to identify relevant scholarly publications, distinguish disciplinary sources, construct database searches, and report the decisions…InsightRAG: Aggregating Distributed Scholarly Judgments for Scientific Survey Generation
The rapid growth of scientific literature makes survey writing increasingly challenging, motivating automatic survey generation.EpiLens: Lightweight RAG for Epidemiological Knowledge Acquisition
To prepare for future outbreaks, researchers need to know what studies have been done and what data they use.Weakly Supervised Adaptation of Scientific Embeddings for Exploratory Literature Mapping
Scientific document embeddings such as SPECTER2 are optimized for retrieval over large, heterogeneous corpora.SQuIREL: A Context-Relative Framework for Measuring Entity Richness in Wikidata
Wikidata is a large, heterogeneous knowledge graph and applying data quality metrics requires context-specific approaches.Star Light, Star Bright: Can Multimodal Models Parse an Astronomy Visual Question Answering Dataset Right?
Figures are essential for scientific communication, and the field of Visual Question Answering (VQA) aims to test the figure understanding capabilities of large multimodal models (LMMs).Reading the Neighborhood: Text-Attentive Graph Reranking for Automated Subject Indexing
Subject indexing assigns descriptors from a controlled vocabulary to bibliographic records, a task characterized by thousands of labels, few positive examples per label, and a long tail of rarely…Governing Copyright Responsibly in the Era of Generative AI
Large language models are trained on collections that may include scholarly works, while authors generally lack work-level information about whether and how their works were used.Gugak-VocalSet: A Multi-Genre Studio-Quality Dataset of Korean Traditional Singing with Sigimsae Annotations
We present Gugak-VocalSet, the first publicly available audio dataset for Korean traditional singing with dense annotations of sigimsae, a structured pitch contour system of vocal expressions.JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings
Beat tracking, chord estimation, and structure analysis are staple tasks of music information retrieval.Local Citation Recommendation Without Graph Signals
Resolving correct citations can be a time-consuming task for research writers.A Stateful Research Information Infrastructure for Scientific Discovery
Artificial intelligence (AI) is being applied to an expanding range of scientific activities, including literature analysis, hypothesis generation, software development and automated experimentation.Do you "see" what I "see"? A Multi-panel Visual Question Answer Dataset for Large Language Model Chart Analysis
Digital libraries increasingly host scientific publications whose figures encode primary research findings, yet making this visual content searchable, accessible, and reusable remains an open…SAIL: Scientific Agentic Intelligence via a Science-Aware Loop
We introduce SAIL, an open model with 35B total and 3B active parameters for literature research, scientific coding, and multi-step research workflows.Large Language Model Turnover Undermines Screening for Artificial Intelligence-Assisted Scientific Writing
Journals and conferences have begun to screen submitted manuscripts for text written using large language models (LLMs).