Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection
cs.AI, cs.LG
Submitted: 2026-09-03
Updated: 2026-09-07
Comments: Accepted to EMNLP 2026 Main Conference
Code: https://github.com/VinnyLiu0817/Dude
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
- MACRO-LLM: LLM-Empowered Multi-Agent Collaborative Reasoning under Spatiotemporal Partial Observability
- The Last Human-Written Paper: Agent-Native Research Artifacts
- ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing
- FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
- Do Papers Tell the Whole Story? A Benchmark and Framework for Uncovering Hidden Implementation Gaps in Bioinformatics
- Preventing the Collapse of Peer Review Requires Verification-First AI
- Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic Evaluation
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