Imagen de Portada

LitLLMs, LLMs for Literature Review: Are we there yet?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Agarwal, Shubham, Sahu, Gaurav, Puri, Abhay, Laradji, Issam H., Dvijotham, Krishnamurthy DJ, Stanley, Jason, Charlin, Laurent, Pal, Christopher
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Digital Libraries Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LitLLM: A Toolkit for Scientific Literature Review
por: Agarwal, Shubham, et al.
Publicado: (2024)

Rethinking Literature Search Evaluation: Deep Research Helps, and Human Citation Lists Are Not a Ground Truth
por: Sahu, Gaurav, et al.
Publicado: (2026)

A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
por: Sahu, Gaurav, et al.
Publicado: (2024)

ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
por: Sahu, Gaurav, et al.
Publicado: (2025)

AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone?
por: Mishra, Shambhavi, et al.
Publicado: (2025)

Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization
por: Sahu, Gaurav, et al.
Publicado: (2023)

LitSearch: A Retrieval Benchmark for Scientific Literature Search
por: Ajith, Anirudh, et al.
Publicado: (2024)

LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks
por: Varvarigos, Andreas, et al.
Publicado: (2026)

Leveraging LLMs for Semi-Automatic Corpus Filtration in Systematic Literature Reviews
por: Joos, Lucas, et al.
Publicado: (2025)

StarVector: Generating Scalable Vector Graphics Code from Images and Text
por: Rodriguez, Juan A., et al.
Publicado: (2023)

Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews
por: Joos, Lucas, et al.
Publicado: (2024)

The Unique Taste of LLMs for Papers: Potential issues in Using LLMs for Digital Library Document Recommendation Tasks
por: Tian, Yifan, et al.
Publicado: (2024)

LLMs Have Made Failure Worth Publishing
por: Lee, Sungmin
Publicado: (2026)

Use of LLMs in preparing accessible scientific papers
por: Doami, Allison, et al.
Publicado: (2025)

LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs
por: Zhang, Jiasheng, et al.
Publicado: (2024)

Structuring Authenticity Assessments on Historical Documents using LLMs
por: Schimmenti, Andrea, et al.
Publicado: (2024)

Application of Module to Coding Theory: A Systematic Literature Review
por: Faldiyan, Muhammad, et al.
Publicado: (2024)

ChatGPT "contamination": estimating the prevalence of LLMs in the scholarly literature
por: Gray, Andrew
Publicado: (2024)

No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms
por: Kazdan, Joshua, et al.
Publicado: (2025)

Data Discovery using LLMs -- A Study of Data User Behaviour
por: Kreutz, Christin Katharina, et al.
Publicado: (2025)

Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs
por: Koloveas, Paris, et al.
Publicado: (2025)

Generative Artificial Intelligence for Literature Reviews
por: Wagner, Gerit, et al.
Publicado: (2026)

CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation
por: Choi, Yee Man, et al.
Publicado: (2025)

AI in Archival Science -- A Systematic Review
por: Shinde, Gaurav, et al.
Publicado: (2024)

SWARM-SLR AIssistant: A Unified Framework for Scalable Systematic Literature Review Automation
por: Wittenborg, Tim, et al.
Publicado: (2026)

Have we reached the beginning of the end for review papers?
por: Smyth, Barry, et al.
Publicado: (2025)

Quantifying the Impact of CU: A Systematic Literature Review
por: Compton, Thomas
Publicado: (2025)

Can we measure the impact of a database?
por: Buneman, Peter, et al.
Publicado: (2024)

The Literature Review Network: An Explainable Artificial Intelligence for Systematic Literature Reviews, Meta-analyses, and Method Development
por: Morriss, Joshua, et al.
Publicado: (2024)

HTML papers on arXiv -- why it is important, and how we made it happen
por: Frankston, Charles, et al.
Publicado: (2024)

Digital Twins in Smart Grids: Work Flow and Literature Review Strategy
por: zin lin, ohn, et al.
Publicado: (2026)

How much are LLMs changing the language of academic papers after ChatGPT? A multi-database and full text analysis
por: Kousha, Kayvan, et al.
Publicado: (2025)

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
por: Zhao, Penghai, et al.
Publicado: (2024)

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
por: Zhang, Haoxuan, et al.
Publicado: (2025)

Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs
por: Tykhonov, Vyacheslav, et al.
Publicado: (2025)

From Paper to Structured JSON: An Agentic Workflow for Compliant BMR Digital Transformation
por: Agarwal, Bhavik, et al.
Publicado: (2025)

LLAssist: Simple Tools for Automating Literature Review Using Large Language Models
por: Haryanto, Christoforus Yoga
Publicado: (2024)

SWARM-SLR -- Streamlined Workflow Automation for Machine-actionable Systematic Literature Reviews
por: Wittenborg, Tim, et al.
Publicado: (2024)

AI Governance in the Context of the EU AI Act: A Bibliometric and Literature Review Approach
por: Kim, Byeong-Je, et al.
Publicado: (2025)

Authorship-contribution normalized Sh-index and citations are better research output indicators
por: Karthik, Vishvesh, et al.
Publicado: (2025)