Cover Image

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Rui, Pang, Xianghe, Chai, Jingyi, Chen, Jiaao, Yin, Zhenfei, Xiang, Zhen, Dong, Xiaowen, Shao, Jing, Chen, Siheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
by: Ye, Rui, et al.
Published: (2025)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
by: Ye, Rui, et al.
Published: (2025)

Incentivizing Inclusive Contributions in Model Sharing Markets
by: Zhang, Enpei, et al.
Published: (2025)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
by: Pang, Xianghe, et al.
Published: (2024)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
by: Tang, Shuo, et al.
Published: (2024)

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)

VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
by: Chen, Menglan, et al.
Published: (2025)

LLM-REVal: Can We Trust LLM Reviewers Yet?
by: Li, Rui, et al.
Published: (2025)

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
by: Ye, Rui, et al.
Published: (2025)

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)

SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?
by: Chai, Jingyi, et al.
Published: (2025)

Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
by: Zhao, Yangheng, et al.
Published: (2023)

Pragmatic Communication in Multi-Agent Collaborative Perception
by: Hu, Yue, et al.
Published: (2024)

ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
by: Liu, Zexi, et al.
Published: (2025)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
by: Ye, Rui, et al.
Published: (2024)

Large Language Models Penetration in Scholarly Writing and Peer Review
by: Zhou, Li, et al.
Published: (2025)

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems
by: Ren, Qibing, et al.
Published: (2025)

SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development
by: Du, Yaxin, et al.
Published: (2025)

Standard Benchmarks Fail -- Auditing LLM Agents in Finance Must Prioritize Risk
by: Chen, Zichen, et al.
Published: (2025)

Dynamic Skill Adaptation for Large Language Models
by: Chen, Jiaao, et al.
Published: (2024)

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
by: Chen, Zeren, et al.
Published: (2023)

SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
by: Yin, Sheng, et al.
Published: (2024)

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair
by: Pang, Xianghe, et al.
Published: (2025)

Can We Volunteer Out of the Peer Review Crisis?
by: Tang, Theo, et al.
Published: (2026)

Are We There Yet? Unravelling Usability Challenges and Opportunities in Collaborative Immersive Analytics for Domain Experts
by: Nafis, Fahim Arsad, et al.
Published: (2024)

Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet
by: Atil, Berk, et al.
Published: (2025)

Large Language Models for IT Automation Tasks: Are We There Yet?
by: Hassan, Md Mahadi, et al.
Published: (2025)

LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
by: Gupta, Rushil, et al.
Published: (2025)

Commitment Checklist: Auditing Author Commitments in Peer Review
by: Chen, Chung-Chi, et al.
Published: (2026)

DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
by: Zhang, Zhehao, et al.
Published: (2024)

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
by: Liu, Shengyuan, et al.
Published: (2025)

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
by: Qian, Chen, et al.
Published: (2024)

A Decade's Battle on Dataset Bias: Are We There Yet?
by: Liu, Zhuang, et al.
Published: (2024)

Histopathology Slide Indexing and Search: Are We There Yet?
by: Shang, Helen H., et al.
Published: (2023)

GNNs as Predictors of Agentic Workflow Performances
by: Zhang, Yuanshuo, et al.
Published: (2025)

Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step
by: Yang, Jingyi, et al.
Published: (2025)

Machine Learning Security against Data Poisoning: Are We There Yet?
by: Cinà, Antonio Emanuele, et al.
Published: (2022)

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
by: Du, Yaxin, et al.
Published: (2025)

$ρ$-$\texttt{EOS}$: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs
by: Yang, Jingyi, et al.
Published: (2026)