Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lu, Cong, Hu, Shengran, Clune, Jeff |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automated Capability Discovery via Foundation Model Self-Exploration
by: Lu, Cong, et al.
Published: (2025)
by: Lu, Cong, et al.
Published: (2025)
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
by: Hu, Shengran, et al.
Published: (2023)
by: Hu, Shengran, et al.
Published: (2023)
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)
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
by: Dharna, Aaron, et al.
Published: (2025)
by: Dharna, Aaron, et al.
Published: (2025)
Automated Design of Agentic Systems
by: Hu, Shengran, et al.
Published: (2024)
by: Hu, Shengran, et al.
Published: (2024)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
by: Fan, Chenghao, et al.
Published: (2024)
by: Fan, Chenghao, et al.
Published: (2024)
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
by: Norman, Ben, et al.
Published: (2023)
by: Norman, Ben, et al.
Published: (2023)
Apple Intelligence Foundation Language Models
by: Gunter, Tom, et al.
Published: (2024)
by: Gunter, Tom, et al.
Published: (2024)
Learning to Continually Learn via Meta-learning Agentic Memory Designs
by: Xiong, Yiming, et al.
Published: (2026)
by: Xiong, Yiming, et al.
Published: (2026)
Exploring Scaling Laws for EHR Foundation Models
by: Zhang, Sheng, et al.
Published: (2025)
by: Zhang, Sheng, et al.
Published: (2025)
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
by: Zhang, Jenny, et al.
Published: (2025)
by: Zhang, Jenny, et al.
Published: (2025)
Tool Learning with Foundation Models
by: Qin, Yujia, et al.
Published: (2023)
by: Qin, Yujia, et al.
Published: (2023)
METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring
by: Liu, Ollie, et al.
Published: (2025)
by: Liu, Ollie, et al.
Published: (2025)
The Generalized Turing Test: A Foundation for Comparing Intelligence
by: Mitropolsky, Daniel, et al.
Published: (2026)
by: Mitropolsky, Daniel, et al.
Published: (2026)
Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
by: Jiang, Lavender Y., et al.
Published: (2025)
by: Jiang, Lavender Y., et al.
Published: (2025)
Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection
by: Khajezade, Mohamad, et al.
Published: (2026)
by: Khajezade, Mohamad, et al.
Published: (2026)
Mini-Giants: "Small" Language Models and Open Source Win-Win
by: Zhou, Zhengping, et al.
Published: (2023)
by: Zhou, Zhengping, et al.
Published: (2023)
Large Language Models Explore by Latent Distilling
by: Zeng, Yuanhao, et al.
Published: (2026)
by: Zeng, Yuanhao, et al.
Published: (2026)
FragileFlow: Spectral Control of Correct-but-Fragile Predictions for Foundation Model Robustness
by: Li, Zhuoyun, et al.
Published: (2026)
by: Li, Zhuoyun, et al.
Published: (2026)
Weaver: Foundation Models for Creative Writing
by: Wang, Tiannan, et al.
Published: (2024)
by: Wang, Tiannan, et al.
Published: (2024)
Foundations of Large Language Models
by: Xiao, Tong, et al.
Published: (2025)
by: Xiao, Tong, et al.
Published: (2025)
Heterogeneous Scientific Foundation Model Collaboration
by: Li, Zihao, et al.
Published: (2026)
by: Li, Zihao, et al.
Published: (2026)
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
by: Guan, Xinyan, et al.
Published: (2024)
by: Guan, Xinyan, et al.
Published: (2024)
Continual learning under domain transfer with sparse synaptic bursting
by: Beaulieu, Shawn L., et al.
Published: (2021)
by: Beaulieu, Shawn L., et al.
Published: (2021)
GoRA: Gradient-driven Adaptive Low Rank Adaptation
by: He, Haonan, et al.
Published: (2025)
by: He, Haonan, et al.
Published: (2025)
OMNI: Open-endedness via Models of human Notions of Interestingness
by: Zhang, Jenny, et al.
Published: (2023)
by: Zhang, Jenny, et al.
Published: (2023)
Dual-Personalizing Adapter for Federated Foundation Models
by: Yang, Yiyuan, et al.
Published: (2024)
by: Yang, Yiyuan, et al.
Published: (2024)
MIO: A Foundation Model on Multimodal Tokens
by: Wang, Zekun, et al.
Published: (2024)
by: Wang, Zekun, et al.
Published: (2024)
Batched Low-Rank Adaptation of Foundation Models
by: Wen, Yeming, et al.
Published: (2023)
by: Wen, Yeming, et al.
Published: (2023)
Theoretical Foundations of Scaling Law in Familial Models
by: Song, Huan, et al.
Published: (2025)
by: Song, Huan, et al.
Published: (2025)
Parameter-Efficient Fine-Tuning for Foundation Models
by: Zhang, Dan, et al.
Published: (2025)
by: Zhang, Dan, et al.
Published: (2025)
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
by: Liu, Fengchen, et al.
Published: (2024)
by: Liu, Fengchen, et al.
Published: (2024)
Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
by: Zhang, Xiaomei, et al.
Published: (2025)
by: Zhang, Xiaomei, et al.
Published: (2025)
Pruning Foundation Models for High Accuracy without Retraining
by: Zhao, Pu, et al.
Published: (2024)
by: Zhao, Pu, et al.
Published: (2024)
Variational Language Concepts for Interpreting Foundation Language Models
by: Wang, Hengyi, et al.
Published: (2024)
by: Wang, Hengyi, et al.
Published: (2024)
Representation Learning of Structured Data for Medical Foundation Models
by: Dwivedi, Vijay Prakash, et al.
Published: (2024)
by: Dwivedi, Vijay Prakash, et al.
Published: (2024)
In-Context Fine-Tuning for Time-Series Foundation Models
by: Das, Abhimanyu, et al.
Published: (2024)
by: Das, Abhimanyu, et al.
Published: (2024)
Exploring Anti-Aging Literature via ConvexTopics and Large Language Models
by: Yeganova, Lana E., et al.
Published: (2026)
by: Yeganova, Lana E., et al.
Published: (2026)
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)
by: Lee, Seungeon, et al.
Published: (2025)
Similar Items
-
Automated Capability Discovery via Foundation Model Self-Exploration
by: Lu, Cong, et al.
Published: (2025) -
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
by: Hu, Shengran, et al.
Published: (2023) -
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
by: Yamada, Yutaro, et al.
Published: (2025) -
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
by: Dharna, Aaron, et al.
Published: (2025) -
Automated Design of Agentic Systems
by: Hu, Shengran, et al.
Published: (2024)