TADDLE: A Tool-Augmented Agent for Detecting Deficient LLM-Generated Peer Reviews

arXiv:2605.26911 · cs.AI · Submitted 2026-05-26 · Read on arXiv

cs.AI

Submitted: 2026-05-26

Updated: 2026-10-13

Code: https://github.com/AquariusAQ/TADDLE

Terminology

• Benchmark — 3× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes

Sources

• Longformer: The Long-Document Transformer
• Evaluating Long-Context Reasoning in LLM-Based WebAgents
• PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
• ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews
• The Llama 3 Herd of Models
• Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks
• ReviewScore: Misinformed Peer Review Detection with Large Language Models
• GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
• Kimi K2.5: Visual Agentic Intelligence
• Qwen3 Technical Report
• Multi-Agent Collaboration Mechanisms: A Survey of LLMs
• Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
• Detecting LLM-Generated Text with Performance Guarantees

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