Imagen de Portada

Detecting LLM-assisted writing in scientific communication: Are we there yet?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lazebnik, Teddy, Rosenfeld, Ariel
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles
por: Alexi, Ariel, et al.
Publicado: (2023)

Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic
por: Lazebnik, Teddy, et al.
Publicado: (2023)

The Topology of a Family Tree Graph and Its Members' Satisfaction with One Another: A Machine Learning Approach
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
por: Taskin, Bilge, et al.
Publicado: (2025)

High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread
por: Lazebnik, Teddy, et al.
Publicado: (2022)

Service Preservation from Matching Non-Matching Socks Under Stochastic Loss
por: Lazebnik, Teddy
Publicado: (2026)

Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields
por: Lazebnik, Teddy
Publicado: (2023)

Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation
por: Lazebnik, Teddy
Publicado: (2024)

Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models
por: Lazebnik, Teddy
Publicado: (2024)

Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law?
por: Lazebnik, Teddy, et al.
Publicado: (2023)

EasyRec: Simple yet Effective Language Models for Recommendation
por: Ren, Xubin, et al.
Publicado: (2024)

Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models
por: Lazebnik, Teddy, et al.
Publicado: (2025)

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation
por: Lazebnik, Teddy, et al.
Publicado: (2025)

LLM-assisted Vector Similarity Search
por: Riyadh, Md, et al.
Publicado: (2024)

Patience is all you need! An agentic system for performing scientific literature review
por: Brett, David, et al.
Publicado: (2025)

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework
por: Chang, Chia-Hsuan, et al.
Publicado: (2024)

Detection of tortured phrases in scientific literature
por: Martel, Eléna, et al.
Publicado: (2024)

Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning
por: Wu, Huidong, et al.
Publicado: (2026)

Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method
por: Chen, Peter Baile, et al.
Publicado: (2025)

Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models
por: Safdar, Mutahar, et al.
Publicado: (2024)

What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
por: Zhang, Bowei, et al.
Publicado: (2025)

Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
por: Zhang, Jinyu, et al.
Publicado: (2025)

Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms
por: Lazebnik, Teddy, et al.
Publicado: (2023)

How many patients could we save with LLM priors?
por: Arai, Shota, et al.
Publicado: (2025)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
por: Wang, Yuhao, et al.
Publicado: (2024)

Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
por: Zhang, Jinyu, et al.
Publicado: (2024)

Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion
por: Li, Minghan, et al.
Publicado: (2026)

Explainable CTR Prediction via LLM Reasoning
por: Yu, Xiaohan, et al.
Publicado: (2024)

LLM-Powered User Simulator for Recommender System
por: Zhang, Zijian, et al.
Publicado: (2024)

Memory Assisted LLM for Personalized Recommendation System
por: Chen, Jiarui
Publicado: (2025)

Weaver: Interweaving SQL and LLM for Table Reasoning
por: Khoja, Rohit, et al.
Publicado: (2025)

Enhancing News Recommendation with Hierarchical LLM Prompting
por: Kieu, Hai-Dang, et al.
Publicado: (2025)

Towards LLM-Enhanced Group Recommender Systems
por: Lubos, Sebastian, et al.
Publicado: (2025)

Improving LLM-powered Recommendations with Personalized Information
por: Liu, Jiahao, et al.
Publicado: (2025)

ThinkRec: Thinking-based recommendation via LLM
por: Yu, Qihang, et al.
Publicado: (2025)

A Survey on LLM-based News Recommender Systems
por: Wang, Rongyao, et al.
Publicado: (2025)

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
por: Lee, Jaehyun, et al.
Publicado: (2026)

A Survey on LLM-powered Agents for Recommender Systems
por: Peng, Qiyao, et al.
Publicado: (2025)

Asynchronous Verified Semantic Caching for Tiered LLM Architectures
por: Singh, Asmit Kumar, et al.
Publicado: (2026)