Saved in:
| Main Author: | BenBassat, Moshe |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.10040 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Impact of LLM-Generated Reviews on Recommender Systems: Textual Shifts, Performance Effects, and Strategic Platform Control
by: Ziv, Itzhak, et al.
Published: (2025)
by: Ziv, Itzhak, et al.
Published: (2025)
Position: Foundation Agents as the Paradigm Shift for Decision Making
by: Liu, Xiaoqian, et al.
Published: (2024)
by: Liu, Xiaoqian, et al.
Published: (2024)
AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
by: Baek, Eunsu, et al.
Published: (2025)
by: Baek, Eunsu, et al.
Published: (2025)
Generative AI and Empirical Software Engineering: A Paradigm Shift
by: Treude, Christoph, et al.
Published: (2025)
by: Treude, Christoph, et al.
Published: (2025)
LLM for SoC Security: A Paradigm Shift
by: Saha, Dipayan, et al.
Published: (2023)
by: Saha, Dipayan, et al.
Published: (2023)
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models
by: Xiong, Luolin, et al.
Published: (2025)
by: Xiong, Luolin, et al.
Published: (2025)
Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance
by: Di Pasquale, Ricardo, et al.
Published: (2024)
by: Di Pasquale, Ricardo, et al.
Published: (2024)
Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
by: Sang, Jitao, et al.
Published: (2025)
by: Sang, Jitao, et al.
Published: (2025)
TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages
by: Ofer, Moshe, et al.
Published: (2025)
by: Ofer, Moshe, et al.
Published: (2025)
The Majority Vote Paradigm Shift: When Popular Meets Optimal
by: Purificato, Antonio, et al.
Published: (2025)
by: Purificato, Antonio, et al.
Published: (2025)
Optimized Agent Shift Scheduling Using Multi-Phase Allocation Approach
by: K, Sanalkumar, et al.
Published: (2025)
by: K, Sanalkumar, et al.
Published: (2025)
Dynamic Learning Rate Scheduling based on Loss Changes Leads to Faster Convergence
by: Subramanian, Shreyas, et al.
Published: (2025)
by: Subramanian, Shreyas, et al.
Published: (2025)
Exploring the Paradigm Shift from Grounding to Skolemization for Complex Query Answering on Knowledge Graphs
by: Lu, Yuyin, et al.
Published: (2025)
by: Lu, Yuyin, et al.
Published: (2025)
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling
by: Said, Aymen Ben, et al.
Published: (2024)
by: Said, Aymen Ben, et al.
Published: (2024)
Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections
by: Farahmand-Tabar, Salar, et al.
Published: (2024)
by: Farahmand-Tabar, Salar, et al.
Published: (2024)
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review
by: Yuksel, Beyazit Bestami, et al.
Published: (2025)
by: Yuksel, Beyazit Bestami, et al.
Published: (2025)
Quantifying over Optimum Answer Sets
by: Mazzotta, Giuseppe, et al.
Published: (2024)
by: Mazzotta, Giuseppe, et al.
Published: (2024)
Towards Optimal Performance and Action Consistency Guarantees in Dec-POMDPs with Inconsistent Beliefs and Limited Communication
by: Shimron, Moshe Rafaeli, et al.
Published: (2025)
by: Shimron, Moshe Rafaeli, et al.
Published: (2025)
MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation
by: Shan, Rong, et al.
Published: (2026)
by: Shan, Rong, et al.
Published: (2026)
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
by: Timor, Nadav, et al.
Published: (2025)
by: Timor, Nadav, et al.
Published: (2025)
Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing
by: Moon, Sihoon, et al.
Published: (2024)
by: Moon, Sihoon, et al.
Published: (2024)
Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization
by: Wang, Yanhu, et al.
Published: (2024)
by: Wang, Yanhu, et al.
Published: (2024)
A Negotiation-Based Multi-Agent Reinforcement Learning Approach for Dynamic Scheduling of Reconfigurable Manufacturing Systems
by: Sekar, Manonmani, et al.
Published: (2025)
by: Sekar, Manonmani, et al.
Published: (2025)
A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
by: Patel, Vipul, et al.
Published: (2025)
by: Patel, Vipul, et al.
Published: (2025)
Quantum-Secure-By-Construction (QSC): A Paradigm Shift For Post-Quantum Agentic Intelligence
by: Bishwas, Arit Kumar, et al.
Published: (2026)
by: Bishwas, Arit Kumar, et al.
Published: (2026)
A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos
by: He, Allen, et al.
Published: (2026)
by: He, Allen, et al.
Published: (2026)
Differentiable Combinatorial Scheduling at Scale
by: Liu, Mingju, et al.
Published: (2024)
by: Liu, Mingju, et al.
Published: (2024)
Memory Bear AI A Breakthrough from Memory to Cognition Toward Artificial General Intelligence
by: Wen, Deliang, et al.
Published: (2025)
by: Wen, Deliang, et al.
Published: (2025)
Workload Schedulers -- Genesis, Algorithms and Differences
by: Sliwko, Leszek, et al.
Published: (2025)
by: Sliwko, Leszek, et al.
Published: (2025)
The Multi-View Paradigm Shift in MRI Radiomics: Predicting MGMT Methylation in Glioblastoma
by: Miteva, Mariya, et al.
Published: (2025)
by: Miteva, Mariya, et al.
Published: (2025)
A Schedule of Duties in the Cloud Space Using a Modified Salp Swarm Algorithm
by: Jamali, Hossein, et al.
Published: (2023)
by: Jamali, Hossein, et al.
Published: (2023)
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing
by: Brown, Kyle, et al.
Published: (2023)
by: Brown, Kyle, et al.
Published: (2023)
Breakthrough the Suboptimal Stable Point in Value-Factorization-Based Multi-Agent Reinforcement Learning
by: Tao, Lesong, et al.
Published: (2026)
by: Tao, Lesong, et al.
Published: (2026)
The Paradigm Shift: Predictive AI vs. the Legacy of Reactive Healthcare
by: www.rasitdinc.com
Published: (2023)
by: www.rasitdinc.com
Published: (2023)
ScheduleFree+: Scaling Learning-Rate-Free & Schedule-Free Learning to Large Language Models
by: Defazio, Aaron
Published: (2026)
by: Defazio, Aaron
Published: (2026)
Data Sharing with a Generative AI Competitor
by: Taitler, Boaz, et al.
Published: (2025)
by: Taitler, Boaz, et al.
Published: (2025)
Sample Complexity and Representation Ability of Test-time Scaling Paradigms
by: Huang, Baihe, et al.
Published: (2025)
by: Huang, Baihe, et al.
Published: (2025)
StarCraft+: Benchmarking Multi-agent Algorithms in Adversary Paradigm
by: Li, Yadong, et al.
Published: (2025)
by: Li, Yadong, et al.
Published: (2025)
Developing an Algorithm Selector for Green Configuration in Scheduling Problems
by: March, Carlos, et al.
Published: (2024)
by: March, Carlos, et al.
Published: (2024)
Similar Items
-
The Impact of LLM-Generated Reviews on Recommender Systems: Textual Shifts, Performance Effects, and Strategic Platform Control
by: Ziv, Itzhak, et al.
Published: (2025) -
Position: Foundation Agents as the Paradigm Shift for Decision Making
by: Liu, Xiaoqian, et al.
Published: (2024) -
AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
by: Baek, Eunsu, et al.
Published: (2025) -
Generative AI and Empirical Software Engineering: A Paradigm Shift
by: Treude, Christoph, et al.
Published: (2025) -
LLM for SoC Security: A Paradigm Shift
by: Saha, Dipayan, et al.
Published: (2023)