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Wanli Ouyang

28 papers hereh-index 13789 citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author22
  • last author2

Across the 24 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CL5
  • cs.CV5
  • cs.AI4
  • cs.CE2
  • physics.comp-ph2
same name
  • Wanli Ouyang — 51 papers, h 20
  • Wanli Ouyang — 22 papers, h 7
  • Wanli Ouyang — 11 papers, h 5
  • Wanli Ouyang — 11 papers, h 7
  • Wanli Ouyang — 11 papers, h 8
  • Wanli Ouyang — 10 papers, h 20

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations

Zeyu Xia, Jinzhe Ma, Congjie Zheng +11

Large Language Models (LLMs) are increasingly embedded in agentic frameworks for scientific discovery. First-principles materials computation imposes a demanding standard for auton…

cs.AI2025

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

Wanghan Xu, Yuhao Zhou, Yifan Zhou +104

Despite advances in scientific AI, a coherent framework for Scientific General Intelligence (SGI)-the ability to autonomously conceive, investigate, and reason across scientific do…

cs.AI2025

Control-R: Towards controllable test-time scaling

Di Zhang, Weida Wang, Junxian Li +10

This paper target in addressing the challenges of underthinking and overthinking in long chain-of-thought (CoT) reasoning for Large Reasoning Models (LRMs) by introducing Reasoning…

cs.AI2024

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Di Zhang, Jianbo Wu, Jingdi Lei +9

This paper presents an advanced mathematical problem-solving framework, LLaMA-Berry, for enhancing the mathematical reasoning ability of Large Language Models (LLMs). The framework…

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