Effective Generative AI: The Human-Algorithm Centaur
Fuente:
arXiv
Saved in:
| Main Authors: | Saghafian, Soroush, Idan, Lihi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Unsupervised Validation of Anomaly-Detection Models
by: Idan, Lihi
Published: (2024)
by: Idan, Lihi
Published: (2024)
Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
by: Zhang, Minmin, et al.
Published: (2026)
by: Zhang, Minmin, et al.
Published: (2026)
Generative AI and the Productivity Divide: Human-AI Complementarities in Education
by: Idan, Lihi, et al.
Published: (2026)
by: Idan, Lihi, et al.
Published: (2026)
Not Yet AlphaFold for the Mind: Evaluating Centaur as a Synthetic Participant
by: Namazova, Sabrina, et al.
Published: (2025)
by: Namazova, Sabrina, et al.
Published: (2025)
Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
by: Zhalechian, Mohammad, et al.
Published: (2024)
by: Zhalechian, Mohammad, et al.
Published: (2024)
Compressing Deep Neural Networks Using Explainable AI
by: Soroush, Kimia, et al.
Published: (2025)
by: Soroush, Kimia, et al.
Published: (2025)
Efficient Triple Modular Redundancy for Reliability Enhancement of DNNs Using Explainable AI
by: Soroush, Kimia, et al.
Published: (2025)
by: Soroush, Kimia, et al.
Published: (2025)
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
by: Saghafian, Armin, et al.
Published: (2024)
by: Saghafian, Armin, et al.
Published: (2024)
Personalized Student Knowledge Modeling for Future Learning Resource Prediction
by: Hashemifar, Soroush, et al.
Published: (2025)
by: Hashemifar, Soroush, et al.
Published: (2025)
Position: We Need An Algorithmic Understanding of Generative AI
by: Eberle, Oliver, et al.
Published: (2025)
by: Eberle, Oliver, et al.
Published: (2025)
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
by: Sima, Chonghao, et al.
Published: (2025)
by: Sima, Chonghao, et al.
Published: (2025)
Robust Conformal Prediction with a Single Binary Certificate
by: Zargarbashi, Soroush H., et al.
Published: (2025)
by: Zargarbashi, Soroush H., et al.
Published: (2025)
Catastrophic Forgetting Mitigation Through Plateau Phase Activity Profiling
by: Mashiach, Idan, et al.
Published: (2025)
by: Mashiach, Idan, et al.
Published: (2025)
Higher-Order Transformers With Kronecker-Structured Attention
by: Omranpour, Soroush, et al.
Published: (2024)
by: Omranpour, Soroush, et al.
Published: (2024)
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
by: Xie, Sean, et al.
Published: (2022)
by: Xie, Sean, et al.
Published: (2022)
Cyborg Data: Merging Human with AI Generated Training Data
by: North, Kai, et al.
Published: (2025)
by: North, Kai, et al.
Published: (2025)
Large Empirical Case Study: Go-Explore adapted for AI Red Team Testing
by: Bhatt, Manish, et al.
Published: (2025)
by: Bhatt, Manish, et al.
Published: (2025)
Towards Effective Discrimination Testing for Generative AI
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
Probabilistic Circuits with Constraints via Convex Optimization
by: Ghandi, Soroush, et al.
Published: (2024)
by: Ghandi, Soroush, et al.
Published: (2024)
Soft Learning Probabilistic Circuits
by: Ghandi, Soroush, et al.
Published: (2024)
by: Ghandi, Soroush, et al.
Published: (2024)
Robust Yet Efficient Conformal Prediction Sets
by: Zargarbashi, Soroush H., et al.
Published: (2024)
by: Zargarbashi, Soroush H., et al.
Published: (2024)
Towards Low-bit Communication for Tensor Parallel LLM Inference
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
MemLoss: Enhancing Adversarial Training with Recycling Adversarial Examples
by: Mahdi, Soroush, et al.
Published: (2025)
by: Mahdi, Soroush, et al.
Published: (2025)
One Sample is Enough to Make Conformal Prediction Robust
by: Zargarbashi, Soroush H., et al.
Published: (2025)
by: Zargarbashi, Soroush H., et al.
Published: (2025)
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
by: Attias, Idan, et al.
Published: (2023)
by: Attias, Idan, et al.
Published: (2023)
Compute Requirements for Algorithmic Innovation in Frontier AI Models
by: Barnett, Peter
Published: (2025)
by: Barnett, Peter
Published: (2025)
RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
by: Nasiriany, Soroush, et al.
Published: (2026)
by: Nasiriany, Soroush, et al.
Published: (2026)
Optimizing Risk-averse Human-AI Hybrid Teams
by: Fuchs, Andrew, et al.
Published: (2024)
by: Fuchs, Andrew, et al.
Published: (2024)
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
by: Collins, Katherine M., et al.
Published: (2025)
by: Collins, Katherine M., et al.
Published: (2025)
Effective Sample Size and Generalization Bounds for Temporal Networks
by: Gahtan, Barak, et al.
Published: (2025)
by: Gahtan, Barak, et al.
Published: (2025)
Anytime Incremental $ρ$POMDP Planning in Continuous Spaces
by: Benchetrit, Ron, et al.
Published: (2025)
by: Benchetrit, Ron, et al.
Published: (2025)
AI-Generated Text Detection and Classification Based on BERT Deep Learning Algorithm
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
From Generative AI to Innovative AI: An Evolutionary Roadmap
by: Mohammadabadi, Seyed Mahmoud Sajjadi
Published: (2025)
by: Mohammadabadi, Seyed Mahmoud Sajjadi
Published: (2025)
Modeling Human Beliefs about AI Behavior for Scalable Oversight
by: Lang, Leon, et al.
Published: (2025)
by: Lang, Leon, et al.
Published: (2025)
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring
by: Brickson, Leandra, et al.
Published: (2023)
by: Brickson, Leandra, et al.
Published: (2023)
Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis
by: Opara, Chidimma
Published: (2025)
by: Opara, Chidimma
Published: (2025)
When Algorithms Manage Humans: A Double Machine Learning Approach to Estimating Nonlinear Effects of Algorithmic Control on Gig Worker Performance and Wellbeing
by: V, Arunkumar, et al.
Published: (2025)
by: V, Arunkumar, et al.
Published: (2025)
On the Challenges and Opportunities in Generative AI
by: Manduchi, Laura, et al.
Published: (2024)
by: Manduchi, Laura, et al.
Published: (2024)
Generative AI in Ship Design
by: Thakur, Sahil, et al.
Published: (2024)
by: Thakur, Sahil, et al.
Published: (2024)
An Alternative Trajectory for Generative AI
by: Belova, Margarita, et al.
Published: (2026)
by: Belova, Margarita, et al.
Published: (2026)
Similar Items
-
Towards Unsupervised Validation of Anomaly-Detection Models
by: Idan, Lihi
Published: (2024) -
Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
by: Zhang, Minmin, et al.
Published: (2026) -
Generative AI and the Productivity Divide: Human-AI Complementarities in Education
by: Idan, Lihi, et al.
Published: (2026) -
Not Yet AlphaFold for the Mind: Evaluating Centaur as a Synthetic Participant
by: Namazova, Sabrina, et al.
Published: (2025) -
Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
by: Zhalechian, Mohammad, et al.
Published: (2024)