Image de couverture de livre

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tie, Guiyao, Shi, Jiawen, Song, Dingjie, Huang, Yixiao, Sheng, Ziji, Zhou, Xueyang, Liu, Daizong, Zhou, Pan, Chen, Yongchao, Xu, Ran, He, Lifang, Wen, Qingsong, Li, Manling, Lu, Cong, Li, Shuai, Xie, Pengtao, Yuan, Yixuan, Meng, Rui, Xing, Lei, Sun, Lichao, Xiong, Caiming, Yu, Philip S., Gao, Jianfeng
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EmbodiedClaw: Conversational Workflow Execution for Embodied AI Development
par: Zhou, Xueyang, et autres
Publié: (2026)

A Survey of AI Scientists
par: Tie, Guiyao, et autres
Publié: (2025)

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models
par: Liu, Junqi, et autres
Publié: (2026)

BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning
par: Tie, Guiyao, et autres
Publié: (2026)

LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
par: Zhou, Xueyang, et autres
Publié: (2025)

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
par: Zhou, Xueyang, et autres
Publié: (2025)

Enabling Extensible Embodied Capabilities with Tools
par: Zhou, Xueyang, et autres
Publié: (2026)

GEAR: Genetic AutoResearch for Agentic Code Evolution
par: Jeddi, Ahmadreza, et autres
Publié: (2026)

AutoResearch-RL: Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery
par: Jain, Nilesh, et autres
Publié: (2026)

Prompt Injection Attack to Tool Selection in LLM Agents
par: Shi, Jiawen, et autres
Publié: (2025)

Towards a Medical AI Scientist
par: Wu, Hongtao, et autres
Publié: (2026)

From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education
par: Zhang, Yi-Fan, et autres
Publié: (2025)

SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
par: Zhou, Xueyang, et autres
Publié: (2025)

AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
par: Xiong, Lei, et autres
Publié: (2026)

Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation
par: Liu, Yinuo, et autres
Publié: (2025)

Sibyl-AutoResearch: Autonomous Research Needs Self-Evolving Trial-and-Error Harnesses, Not Paper Generators
par: Wang, Chengcheng, et autres
Publié: (2026)

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
par: Liu, Jiaqi, et autres
Publié: (2026)

AI Research Agents Narrow Scientific Exploration
par: Tang, Yixuan, et autres
Publié: (2026)

MMLU-Reason: Benchmarking Multi-Task Multi-modal Language Understanding and Reasoning
par: Tie, Guiyao, et autres
Publié: (2025)

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents
par: Yang, Zhejian, et autres
Publié: (2025)

Exploring the Necessity of Reasoning in LLM-based Agent Scenarios
par: Zhou, Xueyang, et autres
Publié: (2025)

AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
par: Liu, Jiaqi, et autres
Publié: (2026)

Unlocking the Potential of AI Researchers in Scientific Discovery: What Is Missing?
par: Yu, Hengjie, et autres
Publié: (2025)

AI-Researcher: Autonomous Scientific Innovation
par: Tang, Jiabin, et autres
Publié: (2025)

A Survey on Post-training of Large Language Models
par: Tie, Guiyao, et autres
Publié: (2025)

OpenResearcher: Unleashing AI for Accelerated Scientific Research
par: Zheng, Yuxiang, et autres
Publié: (2024)

AI for Auto-Research: Roadmap & User Guide
par: Kong, Lingdong, et autres
Publié: (2026)

AI4Research: A Survey of Artificial Intelligence for Scientific Research
par: Chen, Qiguang, et autres
Publié: (2025)

Is AI Robust Enough for Scientific Research?
par: Zhang, Jun-Jie, et autres
Publié: (2024)

AI and Generative AI for Research Discovery and Summarization
par: Glickman, Mark, et autres
Publié: (2024)

Toward Automated Scientific Discovery in Hydrology: The Opportunities and Dangers of AI Augmented Research Frameworks
par: Darri Eythorsson, et autres
Publié: (2025)

Identifying Street‐Level Bureaucrats' Preference for Blame Avoidance in Risk Situations: A Study Using the Q Methodology
par: Yongchao Wu, et autres
Publié: (2026)

One-Step Flow Policy: Self-Distillation for Fast Visuomotor Policies
par: Li, Shaolong, et autres
Publié: (2026)

HybridQuestion: Human-AI Collaboration for Identifying High-Impact Research Questions
par: Zhao, Keyu, et autres
Publié: (2025)

AIBuildAI: An AI Agent for Automatically Building AI Models
par: Zhang, Ruiyi, et autres
Publié: (2026)

Scaling Laws in Scientific Discovery with AI and Robot Scientists
par: Zhang, Pengsong, et autres
Publié: (2025)

Optimisation recommendations from a study on parental choice of accompaniment during children's surgery: Focus on family structure and mental health factors
par: Lianwei Zhou, et autres
Publié: (2024)

Active Inference AI Systems for Scientific Discovery
par: Duraisamy, Karthik
Publié: (2025)

The Use of AI-Robotic Systems for Scientific Discovery
par: Gower, Alexander H., et autres
Publié: (2024)

The Need for Verification in AI-Driven Scientific Discovery
par: Cornelio, Cristina, et autres
Publié: (2025)