Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers
Fuente:
arXiv
Saved in:
| Main Authors: | Koloveas, Paris, Chatzopoulos, Serafeim, Diamantis, Dionysis, Tryfonopoulos, Christos, Vergoulis, Thanasis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
InsightGUIDE: An Opinionated AI Assistant for Guided Critical Reading of Scientific Literature
by: Koloveas, Paris, et al.
Published: (2025)
by: Koloveas, Paris, et al.
Published: (2025)
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs
by: Koloveas, Paris, et al.
Published: (2025)
by: Koloveas, Paris, et al.
Published: (2025)
BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops
by: Koloveas, Paris, et al.
Published: (2023)
by: Koloveas, Paris, et al.
Published: (2023)
A Template-Driven Platform for Contextualised Researcher Profiles
by: Chatzopoulos, Serafeim, et al.
Published: (2026)
by: Chatzopoulos, Serafeim, et al.
Published: (2026)
Can LLMs Predict Citation Intent? An Experimental Analysis of In-Context Learning and Fine-Tuning on Open LLMs
by: Koloveas, Paris, et al.
Published: (2025)
by: Koloveas, Paris, et al.
Published: (2025)
From raw affiliations to organization identifiers
by: Kallipoliti, Myrto, et al.
Published: (2025)
by: Kallipoliti, Myrto, et al.
Published: (2025)
Triples and Knowledge-Infused Embeddings for Clustering and Classification of Scientific Documents
by: Arcan, Mihael
Published: (2025)
by: Arcan, Mihael
Published: (2025)
LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
by: Sadruddin, Sameer, et al.
Published: (2025)
by: Sadruddin, Sameer, et al.
Published: (2025)
Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models
by: D'Souza, Jennifer, et al.
Published: (2025)
by: D'Souza, Jennifer, et al.
Published: (2025)
HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
by: Sakai, Yusuke, et al.
Published: (2026)
by: Sakai, Yusuke, et al.
Published: (2026)
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)
Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias
by: Gnewuch, Max Martin, et al.
Published: (2025)
by: Gnewuch, Max Martin, et al.
Published: (2025)
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery
by: Tanaka, Shinnosuke, et al.
Published: (2024)
by: Tanaka, Shinnosuke, et al.
Published: (2024)
Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking
by: Ruas, Pedro, et al.
Published: (2024)
by: Ruas, Pedro, et al.
Published: (2024)
Scientific Statement Classification over arXiv.org
by: Ginev, Deyan, et al.
Published: (2019)
by: Ginev, Deyan, et al.
Published: (2019)
LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis
by: Giglou, Hamed Babaei, et al.
Published: (2024)
by: Giglou, Hamed Babaei, et al.
Published: (2024)
Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
by: Koneru, Sai, et al.
Published: (2026)
by: Koneru, Sai, et al.
Published: (2026)
Annotating Scientific Uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches
by: Ningrum, Panggih Kusuma, et al.
Published: (2025)
by: Ningrum, Panggih Kusuma, et al.
Published: (2025)
SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers
by: Wu, Wenqing, et al.
Published: (2025)
by: Wu, Wenqing, et al.
Published: (2025)
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)
PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers
by: Lee, Yoonjoo, et al.
Published: (2024)
by: Lee, Yoonjoo, 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)
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents
by: Greif, Gavin, et al.
Published: (2025)
by: Greif, Gavin, et al.
Published: (2025)
The 17% Gap: Quantifying Epistemic Decay in AI-Assisted Survey Papers
by: İlter, H. Kemal
Published: (2026)
by: İlter, H. Kemal
Published: (2026)
HIKMA: Human-Inspired Knowledge by Machine Agents through a Multi-Agent Framework for Semi-Autonomous Scientific Conferences
by: Tariq, Zain Ul Abideen, et al.
Published: (2025)
by: Tariq, Zain Ul Abideen, et al.
Published: (2025)
Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers
by: Geng, Mingmeng, et al.
Published: (2026)
by: Geng, Mingmeng, et al.
Published: (2026)
DeepXiv-SDK: An Agentic Data Interface for Scientific Literature
by: Qian, Hongjin, et al.
Published: (2026)
by: Qian, Hongjin, et al.
Published: (2026)
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology
by: Shamsabadi, Mahsa, et al.
Published: (2024)
by: Shamsabadi, Mahsa, et al.
Published: (2024)
NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
by: Wu, Wenqing, et al.
Published: (2026)
by: Wu, Wenqing, et al.
Published: (2026)
Crystal: Characterizing Relative Impact of Scholarly Publications
by: Collison, Hannah, et al.
Published: (2026)
by: Collison, Hannah, 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)
Evaluating GPT-3.5's Awareness and Summarization Abilities for European Constitutional Texts with Shared Topics
by: Greco, Candida M., et al.
Published: (2024)
by: Greco, Candida M., et al.
Published: (2024)
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 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)
Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge
by: Wu, Wenqing, et al.
Published: (2025)
by: Wu, Wenqing, et al.
Published: (2025)
AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
by: Zhu, Minjun, et al.
Published: (2026)
by: Zhu, Minjun, et al.
Published: (2026)
Large language models for automated scholarly paper review: A survey
by: Zhuang, Zhenzhen, et al.
Published: (2025)
by: Zhuang, Zhenzhen, et al.
Published: (2025)
Named Entity Recognition of Historical Texts via Large Language Model
by: Zhang, Shibingfeng, et al.
Published: (2025)
by: Zhang, Shibingfeng, et al.
Published: (2025)
Towards the AI Historian: Agentic Information Extraction from Primary Sources
by: Hufe, Lorenz, et al.
Published: (2026)
by: Hufe, Lorenz, et al.
Published: (2026)
SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation
by: García-Silva, Andrés, et al.
Published: (2024)
by: García-Silva, Andrés, et al.
Published: (2024)
Similar Items
-
InsightGUIDE: An Opinionated AI Assistant for Guided Critical Reading of Scientific Literature
by: Koloveas, Paris, et al.
Published: (2025) -
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs
by: Koloveas, Paris, et al.
Published: (2025) -
BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops
by: Koloveas, Paris, et al.
Published: (2023) -
A Template-Driven Platform for Contextualised Researcher Profiles
by: Chatzopoulos, Serafeim, et al.
Published: (2026) -
Can LLMs Predict Citation Intent? An Experimental Analysis of In-Context Learning and Fine-Tuning on Open LLMs
by: Koloveas, Paris, et al.
Published: (2025)