most citedMirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE2026

AIPOCH Open-Science: An Open-Source AI Research Workbench with Reproducible .science Packages

Wen Ouyang, Bocheng Huang, Qianyu Yao +76

AI-assisted research leaves instructions, computations, artifact revisions and checks whose relationships matter when another researcher receives the work. We present AIPOCH Open-S…

cs.AI2026

Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment

Zhiyu Chen, Keyu Zhao, Jigao Fu +8

Evaluating research ideas generated by LLMs is difficult because their scientific value cannot be fully determined by objective criteria, and no single reference answer specifies w…

cs.AI2026

LitReview Arena: Evaluating Literature Review Agents with Battle-Style Peer Review Platform

Ruotong Zhao, Zhiyu Chen, Xurui Liu +7

Literature reviews are essential to scientific progress, but rigorously evaluating automatically generated reviews remains difficult because many aspects of research utility depend…

cs.CL2026

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery

Yu Li, Chenyang Shao, Xinyang Liu +13

Artificial intelligence research increasingly depends on prolonged cycles of reproduction, debugging, and iterative refinement to achieve State-Of-The-Art (SOTA) performance, creat…

cs.CY2025

OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists

Chenyang Shao, Dehao Huang, Yu Li +18

With the rapid development of Large Language Models (LLMs), AI agents have demonstrated increasing proficiency in scientific tasks, ranging from hypothesis generation and experimen…

cs.AI2025★ 1 cited

MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists

Qingbin Zeng, Bingbing Fan, Zhiyu Chen +7

The emergence of AI Scientists has demonstrated remarkable potential in automating scientific research. However, current approaches largely conceptualize scientific discovery as a…