Saved in:
| Main Authors: | Ranka, Prateek, Morstatter, Fred, Graddy-Reed, Alexandra, Belz, Andrea |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.13182 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Artificial Intuition: Efficient Classification of Scientific Abstracts
by: Sakhrani, Harsh, et al.
Published: (2024)
by: Sakhrani, Harsh, et al.
Published: (2024)
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
by: Liu, Fan, et al.
Published: (2025)
by: Liu, Fan, et al.
Published: (2025)
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
by: Giner-Miguelez, Joan, et al.
Published: (2024)
by: Giner-Miguelez, Joan, et al.
Published: (2024)
TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening
by: Kataoka, Yuki, et al.
Published: (2026)
by: Kataoka, Yuki, et al.
Published: (2026)
An Instance-based Plus Ensemble Learning Method for Classification of Scientific Papers
by: Zhang, Fang, et al.
Published: (2024)
by: Zhang, Fang, et al.
Published: (2024)
Scientific Statement Classification over arXiv.org
by: Ginev, Deyan, et al.
Published: (2019)
by: Ginev, Deyan, et al.
Published: (2019)
Triples and Knowledge-Infused Embeddings for Clustering and Classification of Scientific Documents
by: Arcan, Mihael
Published: (2025)
by: Arcan, Mihael
Published: (2025)
FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
by: Xi, Sarina, et al.
Published: (2025)
by: Xi, Sarina, et al.
Published: (2025)
How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review
by: Su, Buxin, et al.
Published: (2025)
by: Su, Buxin, et al.
Published: (2025)
An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics
by: Liu, Miri, et al.
Published: (2026)
by: Liu, Miri, et al.
Published: (2026)
Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
by: Gu, Xuemei, et al.
Published: (2024)
by: Gu, Xuemei, et al.
Published: (2024)
Oil & Water? Diffusion of AI Within and Across Scientific Fields
by: Duede, Eamon, et al.
Published: (2024)
by: Duede, Eamon, et al.
Published: (2024)
Automating Chapter-Level Classification for Electronic Theses and Dissertations
by: Banerjee, Bipasha, et al.
Published: (2024)
by: Banerjee, Bipasha, et al.
Published: (2024)
Documentation Practices of Artificial Intelligence
by: Arnold, Stefan, et al.
Published: (2024)
by: Arnold, Stefan, et al.
Published: (2024)
BibAgent: An Agentic Framework for Traceable Miscitation Detection in Scientific Literature
by: Li, Peiran, et al.
Published: (2026)
by: Li, Peiran, et al.
Published: (2026)
Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
by: Zhang, Haoxuan, et al.
Published: (2025)
by: Zhang, Haoxuan, et al.
Published: (2025)
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning
by: Rao, Susie Xi, et al.
Published: (2023)
by: Rao, Susie Xi, et al.
Published: (2023)
CiteCheck: Retrieval-Grounded Detection of LLM Citation Hallucinations in Scientific Text
by: Khajavi, Khashayar, et al.
Published: (2026)
by: Khajavi, Khashayar, et al.
Published: (2026)
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
by: Algaba, Andres, et al.
Published: (2025)
by: Algaba, Andres, et al.
Published: (2025)
The Artificial Intelligence Disclosure (AID) Framework: An Introduction
by: Weaver, Kari D.
Published: (2024)
by: Weaver, Kari D.
Published: (2024)
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs
by: Tykhonov, Vyacheslav, et al.
Published: (2025)
by: Tykhonov, Vyacheslav, et al.
Published: (2025)
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
by: Asai, Akari, et al.
Published: (2024)
by: Asai, Akari, et al.
Published: (2024)
LitSearch: A Retrieval Benchmark for Scientific Literature Search
by: Ajith, Anirudh, et al.
Published: (2024)
by: Ajith, Anirudh, et al.
Published: (2024)
OpenDataLab: Empowering General Artificial Intelligence with Open Datasets
by: He, Conghui, et al.
Published: (2024)
by: He, Conghui, et al.
Published: (2024)
How unique are hallucinated citations offered by generative Artificial Intelligence models?
by: Spennemann, Dirk HR
Published: (2026)
by: Spennemann, Dirk HR
Published: (2026)
Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors
by: Azad, Ariful, et al.
Published: (2024)
by: Azad, Ariful, et al.
Published: (2024)
Mapping the Increasing Use of LLMs in Scientific Papers
by: Liang, Weixin, et al.
Published: (2024)
by: Liang, Weixin, et al.
Published: (2024)
How Do LLMs Encode Scientific Quality? An Empirical Study Using Monosemantic Features from Sparse Autoencoders
by: McCoubrey, Michael, et al.
Published: (2026)
by: McCoubrey, Michael, et al.
Published: (2026)
Artificial Intelligence Specialization in the European Union: Underexplored Role of the Periphery at NUTS-3 Level
by: Herrero-Solana, Victor, et al.
Published: (2026)
by: Herrero-Solana, Victor, et al.
Published: (2026)
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
by: Gu, Xuemei, et al.
Published: (2024)
by: Gu, Xuemei, et al.
Published: (2024)
CheckSupport: A Local LLM-Powered Tool for Automated Manuscript Submission Checklist Selection and Completion
by: Tripathi, Satvik, et al.
Published: (2026)
by: Tripathi, Satvik, et al.
Published: (2026)
Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution
by: Donmez, Turker Berk
Published: (2024)
by: Donmez, Turker Berk
Published: (2024)
GREI Data Repository AI Taxonomy
by: Chodacki, John, et al.
Published: (2024)
by: Chodacki, John, et al.
Published: (2024)
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
by: Tan, Ruifeng, et al.
Published: (2025)
by: Tan, Ruifeng, et al.
Published: (2025)
Can citations tell us about a paper's reproducibility? A case study of machine learning papers
by: Obadage, Rochana R., et al.
Published: (2024)
by: Obadage, Rochana R., et al.
Published: (2024)
LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks
by: Varvarigos, Andreas, et al.
Published: (2026)
by: Varvarigos, Andreas, et al.
Published: (2026)
pyBibX -- A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence Tools
by: Pereira, Valdecy, et al.
Published: (2023)
by: Pereira, Valdecy, et al.
Published: (2023)
Ontology Creation and Management Tools: the Case of Anatomical Connectivity
by: Kokash, Natallia, et al.
Published: (2025)
by: Kokash, Natallia, et al.
Published: (2025)
iTRI-QA: a Toolset for Customized Question-Answer Dataset Generation Using Language Models for Enhanced Scientific Research
by: Liu, Qiming, et al.
Published: (2025)
by: Liu, Qiming, et al.
Published: (2025)
ASTRA: Mapping Art-Technology Institutions via Conceptual Axes, Text Embeddings, and Unsupervised Clustering
by: Bae, Joonhyung
Published: (2026)
by: Bae, Joonhyung
Published: (2026)
Similar Items
-
Artificial Intuition: Efficient Classification of Scientific Abstracts
by: Sakhrani, Harsh, et al.
Published: (2024) -
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
by: Liu, Fan, et al.
Published: (2025) -
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
by: Giner-Miguelez, Joan, et al.
Published: (2024) -
TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening
by: Kataoka, Yuki, et al.
Published: (2026) -
An Instance-based Plus Ensemble Learning Method for Classification of Scientific Papers
by: Zhang, Fang, et al.
Published: (2024)