activity
20242026
most citedAbduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems

1 citations · 2 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.CL2026

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts

Yuan Xin, Yixuan Weng, Minjun Zhu +5

As Large Language Models (LLMs) are increasingly integrated into academic peer review, their vulnerability to adversarial hidden prompts, i.e., adversarial instructions embedded in…

cs.AI2026

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists

Junshu Pan, Panzhong Lu, Yixuan Weng +5

Recent advances in artificial intelligence (AI) have accelerated the growth of both human-authored and AI-generated research outputs, placing increasing strain on traditional acade…

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.CV2026

AutoFigure-Edit: Generating Editable Scientific Illustration

Zhen Lin, Qiujie Xie, Minjun Zhu +10

High-quality scientific illustrations are essential for communicating complex scientific and technical concepts, yet existing automated systems remain limited in editability, styli…

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…