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cs.AI2026

DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review

Yixuan Weng, Minjun Zhu, Qiujie Xie +7

Automated peer review is often framed as generating fluent critique, yet reviewers and area chairs need judgments they can \emph{audit}: where a concern applies, what evidence supp…

cs.AI2026

AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations

Minjun Zhu, Zhen Lin, Yixuan Weng +6

High-quality scientific illustrations are crucial for effectively communicating complex scientific and technical concepts, yet their manual creation remains a well-recognized bottl…

cs.AI2025

Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems

Alva West, Yixuan Weng, Minjun Zhu +3

Failure attribution in multi-agent systems -- pinpointing the exact step where a decisive error occurs -- is a critical yet unsolved challenge. Current methods treat this as a patt…

cs.AI2025

How Far Are AI Scientists from Changing the World?

Qiujie Xie, Yixuan Weng, Minjun Zhu +9

The emergence of large language models (LLMs) is propelling automated scientific discovery to the next level, with LLM-based Artificial Intelligence (AI) Scientist systems now taki…

cs.AI2025

AI Scientists Fail Without Strong Implementation Capability

Minjun Zhu, Qiujie Xie, Yixuan Weng +4

The emergence of Artificial Intelligence (AI) Scientist represents a paradigm shift in scientific discovery, with large language models (LLMs) taking the lead as the primary execut…