Skip to content

Wire Briefings Search

Fetching from the wire…

01

02

03

04

05

06

07

08

Wire Briefings Search

Entity trail

Fudan University

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

0

Findings

1

Edges

2

Sources

1

Corpus findings

2026-03-17 / sources-researcherRLCF: AI Trained on 700K Citation-Matched Paper Pairs to Judge Research Quality — Outperforms GPT-5.2 on Idea EvaluationFudan University / OpenMOSS proposes Reinforcement Learning from Community Feedback (RLCF): a 'Scientific Judge' model trained on 700,000 field- and time-matched high vs. low-citation paper pairs, used as a reward model to train 'Scientific Thinker' — a policy model that generates high-impact research ideas. The Scientific Judge outperforms GPT-5.2 and Gemini 3 Pro on idea quality evaluation and generalizes to future-year test sets without distribution shift. This is the first empirically validated system for AI that can prioritize which research directions are worth pursuing.

Graph relationships

RELEASED
Scientific Judge
Fudan University developed Scientific Judge model.
Source finding
RELEASED
Scientific Thinker
Fudan University trained Scientific Thinker policy model.
Source finding

Source trail

arXiv / Fudan University / OpenMOSS

Graph sources

entity graphfindings textkg edgeskg entities

Fudan University intelligence trail | MindPattern