From AI Assistant to AI Scientist: Autonomous Discovery of LLM-RL Algorithms with LLM Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Xia, Sirui, Zhang, Yikai, Chen, Aili, Wu, Siye, Yuan, Siyu, Xiao, Yanghua |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TravelAgent: An AI Assistant for Personalized Travel Planning
by: Chen, Aili, et al.
Published: (2024)
by: Chen, Aili, et al.
Published: (2024)
ARM: Adaptive Reasoning Model
by: Wu, Siye, et al.
Published: (2025)
by: Wu, Siye, et al.
Published: (2025)
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning
by: Wu, Siye, et al.
Published: (2026)
by: Wu, Siye, et al.
Published: (2026)
Can LLMs Learn to Map the World from Local Descriptions?
by: Xia, Sirui, et al.
Published: (2025)
by: Xia, Sirui, et al.
Published: (2025)
ARIA: Training Language Agents with Intention-Driven Reward Aggregation
by: Yang, Ruihan, et al.
Published: (2025)
by: Yang, Ruihan, et al.
Published: (2025)
SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals
by: Yang, Ruihan, et al.
Published: (2024)
by: Yang, Ruihan, et al.
Published: (2024)
Enhancing Language Agent Strategic Reasoning through Self-Play in Adversarial Games
by: Zhang, Yikai, et al.
Published: (2025)
by: Zhang, Yikai, et al.
Published: (2025)
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation
by: Zhang, Yikai, et al.
Published: (2024)
by: Zhang, Yikai, et al.
Published: (2024)
From Persona to Personalization: A Survey on Role-Playing Language Agents
by: Chen, Jiangjie, et al.
Published: (2024)
by: Chen, Jiangjie, et al.
Published: (2024)
DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling
by: Chen, Aili, et al.
Published: (2025)
by: Chen, Aili, et al.
Published: (2025)
Revealing the Barriers of Language Agents in Planning
by: Xie, Jian, et al.
Published: (2024)
by: Xie, Jian, et al.
Published: (2024)
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)
LLM Agent Meets Agentic AI: Can LLM Agents Simulate Customers to Evaluate Agentic-AI-based Shopping Assistants?
by: Sun, Lu, et al.
Published: (2025)
by: Sun, Lu, et al.
Published: (2025)
Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models
by: Zhang, Yikai, et al.
Published: (2024)
by: Zhang, Yikai, et al.
Published: (2024)
How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?
by: Wu, Siye, et al.
Published: (2024)
by: Wu, Siye, et al.
Published: (2024)
Scaling Laws in Scientific Discovery with AI and Robot Scientists
by: Zhang, Pengsong, et al.
Published: (2025)
by: Zhang, Pengsong, et al.
Published: (2025)
The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement
by: Yang, Ruihan, et al.
Published: (2025)
by: Yang, Ruihan, et al.
Published: (2025)
Curse of Knowledge: When Complex Evaluation Context Benefits yet Biases LLM Judges
by: Li, Weiyuan, et al.
Published: (2025)
by: Li, Weiyuan, et al.
Published: (2025)
CauScientist: Teaching LLMs to Respect Data for Causal Discovery
by: Peng, Bo, et al.
Published: (2026)
by: Peng, Bo, et al.
Published: (2026)
AI Urban Scientist: Multi-Agent Collaborative Automation for Urban Research
by: Xia, Tong, et al.
Published: (2025)
by: Xia, Tong, et al.
Published: (2025)
CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists
by: Yang, Junlin, et al.
Published: (2026)
by: Yang, Junlin, et al.
Published: (2026)
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
by: He, Jianliang, et al.
Published: (2024)
by: He, Jianliang, et al.
Published: (2024)
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)
by: Zhang, Yifei, et al.
Published: (2024)
From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
by: Xia, Siyu, et al.
Published: (2025)
by: Xia, Siyu, et al.
Published: (2025)
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)
From Transcripts to AI Agents: Knowledge Extraction, RAG Integration, and Robust Evaluation of Conversational AI Assistants
by: Pachtrachai, Krittin, et al.
Published: (2026)
by: Pachtrachai, Krittin, et al.
Published: (2026)
MemInsight: Autonomous Memory Augmentation for LLM Agents
by: Salama, Rana, et al.
Published: (2025)
by: Salama, Rana, et al.
Published: (2025)
Agent Laboratory: Using LLM Agents as Research Assistants
by: Schmidgall, Samuel, et al.
Published: (2025)
by: Schmidgall, Samuel, et al.
Published: (2025)
Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning
by: Yin, Xiangyu, et al.
Published: (2026)
by: Yin, Xiangyu, et al.
Published: (2026)
Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
by: Xu, Yinggan, et al.
Published: (2025)
by: Xu, Yinggan, et al.
Published: (2025)
AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
by: Schoenegger, Philipp, et al.
Published: (2024)
by: Schoenegger, Philipp, et al.
Published: (2024)
"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations
by: Wu, Yang, et al.
Published: (2026)
by: Wu, Yang, et al.
Published: (2026)
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)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
MCiteBench: A Multimodal Benchmark for Generating Text with Citations
by: Hu, Caiyu, et al.
Published: (2025)
by: Hu, Caiyu, et al.
Published: (2025)
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)
ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents
by: Mao, Shaoguang, et al.
Published: (2023)
by: Mao, Shaoguang, et al.
Published: (2023)
The AI Data Scientist
by: Akimov, Farkhad, et al.
Published: (2025)
by: Akimov, Farkhad, et al.
Published: (2025)
LANID: LLM-assisted New Intent Discovery
by: Fan, Lu, et al.
Published: (2025)
by: Fan, Lu, et al.
Published: (2025)
AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
Similar Items
-
TravelAgent: An AI Assistant for Personalized Travel Planning
by: Chen, Aili, et al.
Published: (2024) -
ARM: Adaptive Reasoning Model
by: Wu, Siye, et al.
Published: (2025) -
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning
by: Wu, Siye, et al.
Published: (2026) -
Can LLMs Learn to Map the World from Local Descriptions?
by: Xia, Sirui, et al.
Published: (2025) -
ARIA: Training Language Agents with Intention-Driven Reward Aggregation
by: Yang, Ruihan, et al.
Published: (2025)