AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Junshu, Lu, Panzhong, Weng, Yixuan, Sun, Qiyao, Guo, Fang, Yang, Zijie, Zhou, Qiji, Zhang, Yue |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
by: Zhang, Pengsong, et al.
Published: (2025)
by: Zhang, Pengsong, et al.
Published: (2025)
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
by: Pan, Junshu, et al.
Published: (2025)
by: Pan, Junshu, et al.
Published: (2025)
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models
by: Zhou, Qiji, et al.
Published: (2024)
by: Zhou, Qiji, et al.
Published: (2024)
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
by: Weng, Yixuan, et al.
Published: (2025)
by: Weng, Yixuan, et al.
Published: (2025)
Airalogy: AI-empowered universal data digitization for research automation
by: Yang, Zijie, et al.
Published: (2025)
by: Yang, Zijie, et al.
Published: (2025)
AI Scientists Fail Without Strong Implementation Capability
by: Zhu, Minjun, et al.
Published: (2025)
by: Zhu, Minjun, et al.
Published: (2025)
AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
by: Zhu, Minjun, et al.
Published: (2026)
by: Zhu, Minjun, et al.
Published: (2026)
DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review
by: Weng, Yixuan, et al.
Published: (2026)
by: Weng, Yixuan, et al.
Published: (2026)
Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text
by: Bao, Guangsheng, et al.
Published: (2025)
by: Bao, Guangsheng, et al.
Published: (2025)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
by: Shao, Chenyang, et al.
Published: (2025)
by: Shao, Chenyang, et al.
Published: (2025)
EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
by: Lyu, Yougang, et al.
Published: (2026)
by: Lyu, Yougang, et al.
Published: (2026)
How Far Are AI Scientists from Changing the World?
by: Xie, Qiujie, et al.
Published: (2025)
by: Xie, Qiujie, et al.
Published: (2025)
The AI Data Scientist
by: Akimov, Farkhad, et al.
Published: (2025)
by: Akimov, Farkhad, et al.
Published: (2025)
Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
by: Huang, Shulin, et al.
Published: (2025)
by: Huang, Shulin, et al.
Published: (2025)
Overview of the 2024 ALTA Shared Task: Detect Automatic AI-Generated Sentences for Human-AI Hybrid Articles
by: Mollá, Diego, et al.
Published: (2024)
by: Mollá, Diego, et al.
Published: (2024)
AI-Generated Text is Non-Stationary: Detection via Temporal Tomography
by: West, Alva, et al.
Published: (2025)
by: West, Alva, et al.
Published: (2025)
Tendem: A Hybrid AI+Human Platform
by: Chernyshev, Konstantin, et al.
Published: (2026)
by: Chernyshev, Konstantin, et al.
Published: (2026)
Base Models Look Human To AI Detectors
by: Xu, Yixuan Even, et al.
Published: (2026)
by: Xu, Yixuan Even, et al.
Published: (2026)
Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
by: Tang, Xiangru, et al.
Published: (2024)
by: Tang, Xiangru, et al.
Published: (2024)
A Survey of AI Scientists
by: Tie, Guiyao, et al.
Published: (2025)
by: Tie, Guiyao, et al.
Published: (2025)
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
by: Li, Yifei, et al.
Published: (2025)
by: Li, Yifei, et al.
Published: (2025)
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
by: Wang, Xingyao, et al.
Published: (2024)
by: Wang, Xingyao, et al.
Published: (2024)
DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
by: Zhu, Minjun, et al.
Published: (2025)
by: Zhu, Minjun, et al.
Published: (2025)
Scaling Laws in Scientific Discovery with AI and Robot Scientists
by: Zhang, Pengsong, et al.
Published: (2025)
by: Zhang, Pengsong, et al.
Published: (2025)
From AI Assistant to AI Scientist: Autonomous Discovery of LLM-RL Algorithms with LLM Agents
by: Xia, Sirui, et al.
Published: (2026)
by: Xia, Sirui, et al.
Published: (2026)
Open TutorAI: An Open-source Platform for Personalized and Immersive Learning with Generative AI
by: Hajji, Mohamed El, et al.
Published: (2026)
by: Hajji, Mohamed El, et al.
Published: (2026)
When AI Does Science: Evaluating the Autonomous AI Scientist KOSMOS in Radiation Biology
by: Nusrat, Humza, et al.
Published: (2025)
by: Nusrat, Humza, et al.
Published: (2025)
ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
by: Chen, Zihan, et al.
Published: (2025)
by: Chen, Zihan, et al.
Published: (2025)
PaperBanana: Automating Academic Illustration for AI Scientists
by: Zhu, Dawei, et al.
Published: (2026)
by: Zhu, Dawei, et al.
Published: (2026)
Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights
by: Zeng, Zijie, et al.
Published: (2024)
by: Zeng, Zijie, et al.
Published: (2024)
Training AI Co-Scientists Using Rubric Rewards
by: Goel, Shashwat, et al.
Published: (2025)
by: Goel, Shashwat, et al.
Published: (2025)
AI Technologies in Language Access: Attitudes Towards AI and the Human Value of Language Access Managers
by: Jiménez-Crespo, Miguel A., et al.
Published: (2026)
by: Jiménez-Crespo, Miguel A., et al.
Published: (2026)
AutoFigure-Edit: Generating Editable Scientific Illustration
by: Lin, Zhen, et al.
Published: (2026)
by: Lin, Zhen, et al.
Published: (2026)
AI Research Agents Narrow Scientific Exploration
by: Tang, Yixuan, et al.
Published: (2026)
by: Tang, Yixuan, et al.
Published: (2026)
Dyadic: A Scalable Platform for Human-Human and Human-AI Conversation Research
by: Markowitz, David M.
Published: (2026)
by: Markowitz, David M.
Published: (2026)
OpenDeception: Learning Deception and Trust in Human-AI Interaction via Multi-Agent Simulation
by: Wu, Yichen, et al.
Published: (2025)
by: Wu, Yichen, et al.
Published: (2025)
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
by: Yamada, Yutaro, et al.
Published: (2025)
by: Yamada, Yutaro, et al.
Published: (2025)
Personality Alignment of Large Language Models
by: Zhu, Minjun, et al.
Published: (2024)
by: Zhu, Minjun, et al.
Published: (2024)
Comment on arXiv:2511.21731v1: Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition
by: Sienicki, Krzysztof
Published: (2026)
by: Sienicki, Krzysztof
Published: (2026)
Similar Items
-
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
by: Zhang, Pengsong, et al.
Published: (2025) -
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
by: Pan, Junshu, et al.
Published: (2025) -
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models
by: Zhou, Qiji, et al.
Published: (2024) -
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
by: Weng, Yixuan, et al.
Published: (2025) -
Airalogy: AI-empowered universal data digitization for research automation
by: Yang, Zijie, et al.
Published: (2025)