Cover Image

Multi-Agent LLMs for Generating Research Limitations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Azher, Ibrahim Al, Guo, Zhishuai, Alhoori, Hamed
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article
by: Azher, Ibrahim Al, et al.
Published: (2025)

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks
by: Shahzad, Murtuza, et al.
Published: (2026)

BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
by: Azher, Ibrahim Al, et al.
Published: (2025)

Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
by: Rezaei, Mosab, et al.
Published: (2025)

Quantifying the Relevance of Youth Research Cited in the US Policy Documents
by: Mokarrama, Miftahul Jannat, et al.
Published: (2025)

Governed Memory: A Production Architecture for Multi-Agent Workflows
by: Taheri, Hamed
Published: (2026)

LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
by: Faizullah, Abdur Rahman Bin Md, et al.
Published: (2024)

Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System
by: Zeng, Fang, et al.
Published: (2024)

Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content
by: Mushtaq, Abdullah, et al.
Published: (2025)

Multi-Agent Interactive Question Generation Framework for Long Document Understanding
by: Wang, Kesen, et al.
Published: (2025)

Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
by: Fayyaz, Hamed, et al.
Published: (2024)

CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
by: Guo, Ruiling, et al.
Published: (2025)

Social Debiasing for Fair Multi-modal LLMs
by: Cheng, Harry, et al.
Published: (2024)

Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts
by: Efat, Azher Ahmed, et al.
Published: (2026)

Testing the Limits of Truth Directions in LLMs
by: Poulis, Angelos, et al.
Published: (2026)

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments
by: Huang, Jen-tse, et al.
Published: (2024)

Multi-Personality Generation of LLMs at Decoding-time
by: Chen, Rongxin, et al.
Published: (2025)

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
by: Shen, Weizhou, et al.
Published: (2024)

Learning to Negotiate: Multi-Agent Deliberation for Collective Value Alignment in LLMs
by: Anantaprayoon, Panatchakorn, et al.
Published: (2026)

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

Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
by: Feng, Yiyang, et al.
Published: (2026)

Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation
by: Zhang, Chenghao, et al.
Published: (2026)

A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
by: Alabdulmohsin, Ibrahim, et al.
Published: (2025)

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
by: Bilal, Ahsan, et al.
Published: (2025)

Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics
by: Prabhakar, Akshara, et al.
Published: (2025)

LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
by: Giglou, Hamed Babaei, et al.
Published: (2024)

LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions
by: Song, Maojia, et al.
Published: (2025)

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
by: Lin, Minhua, et al.
Published: (2024)

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
by: Smit, Andries, et al.
Published: (2023)

MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs
by: Yu, Xianhao, et al.
Published: (2024)

Detecting Safety Violations Across Many Agent Traces
by: Stein, Adam, et al.
Published: (2026)

MAD-Fact: A Multi-Agent Debate Framework for Long-Form Factuality Evaluation in LLMs
by: Ning, Yucheng, et al.
Published: (2025)

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
by: Lo, Frank P. -W., et al.
Published: (2025)

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning
by: Zhou, Qinhao, et al.
Published: (2024)

DAIQ: Auditing Demographic Attribute Inference from Question in LLMs
by: Panda, Srikant, et al.
Published: (2025)

The Consensus Trap: Rescuing Multi-Agent LLMs from Adversarial Majorities via Token-Level Collaboration
by: Liu, Jiayuan, et al.
Published: (2026)

StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation
by: Meng, Qingyu, et al.
Published: (2026)

LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations
by: Azhar, Ibrahim Al, et al.
Published: (2025)

O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL
by: Yao, Yi, et al.
Published: (2026)

The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
by: Arif, Samee, et al.
Published: (2024)