A Quantitative Definition of Intelligence
Fuente:
arXiv
Saved in:
| Main Author: | Choi, Kang-Sin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Demystifying the unreasonable effectiveness of online alignment methods
by: Kang, Enoch Hyunwook
Published: (2026)
by: Kang, Enoch Hyunwook
Published: (2026)
A Theory of Learning with Autoregressive Chain of Thought
by: Joshi, Nirmit, et al.
Published: (2025)
by: Joshi, Nirmit, et al.
Published: (2025)
A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention
by: Ye, Xiaowei, et al.
Published: (2026)
by: Ye, Xiaowei, et al.
Published: (2026)
A Unified Approach for Maximizing Continuous DR-submodular Functions
by: Pedramfar, Mohammad, et al.
Published: (2023)
by: Pedramfar, Mohammad, et al.
Published: (2023)
On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective
by: Li, Xiaoyu, et al.
Published: (2025)
by: Li, Xiaoyu, et al.
Published: (2025)
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
by: Hazra, Rishi, et al.
Published: (2025)
by: Hazra, Rishi, et al.
Published: (2025)
Learning to Think from Multiple Thinkers
by: Joshi, Nirmit, et al.
Published: (2026)
by: Joshi, Nirmit, et al.
Published: (2026)
On the Expressive Power and Limitations of Multi-Layer SSMs
by: Zubić, Nikola, et al.
Published: (2026)
by: Zubić, Nikola, et al.
Published: (2026)
How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers
by: Wang, Xiao
Published: (2026)
by: Wang, Xiao
Published: (2026)
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
Lossless Model Compression via Joint Low-Rank Factorization Optimization
by: Zhang, Boyang, et al.
Published: (2024)
by: Zhang, Boyang, et al.
Published: (2024)
Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent
by: Chen, Bo, et al.
Published: (2025)
by: Chen, Bo, et al.
Published: (2025)
Provably Overwhelming Transformer Models with Designed Inputs
by: Stambler, Lev, et al.
Published: (2025)
by: Stambler, Lev, et al.
Published: (2025)
Limitations on Accurate, Trusted, Human-level Reasoning
by: Panigrahy, Rina, et al.
Published: (2025)
by: Panigrahy, Rina, et al.
Published: (2025)
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
by: Liang, Yingyu, et al.
Published: (2024)
by: Liang, Yingyu, et al.
Published: (2024)
Mathematical Formalism for Memory Compression in Selective State Space Models
by: Bhat, Siddhanth
Published: (2024)
by: Bhat, Siddhanth
Published: (2024)
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
by: Li, Chenyang, et al.
Published: (2025)
by: Li, Chenyang, et al.
Published: (2025)
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
by: Boche, Holger, et al.
Published: (2024)
by: Boche, Holger, et al.
Published: (2024)
A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques
by: Ledaguenel, Arthur, et al.
Published: (2024)
by: Ledaguenel, Arthur, et al.
Published: (2024)
A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation Limits
by: Zhang, Yuyang, et al.
Published: (2026)
by: Zhang, Yuyang, et al.
Published: (2026)
Learning Tree Pattern Transformations
by: Neider, Daniel, et al.
Published: (2024)
by: Neider, Daniel, et al.
Published: (2024)
Nearest Neighbor CCP-Based Molecular Sequence Analysis
by: Ali, Sarwan, et al.
Published: (2024)
by: Ali, Sarwan, et al.
Published: (2024)
Reinforced Generation of Combinatorial Structures: Hardness of Approximation
by: Nagda, Ansh, et al.
Published: (2025)
by: Nagda, Ansh, et al.
Published: (2025)
RoPE Attention Can Be Trained in Almost Linear Time
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
The Alignment Trap: Complexity Barriers
by: Yao, Jasper
Published: (2025)
by: Yao, Jasper
Published: (2025)
Modern Hopfield Networks Require Chain-of-Thought to Solve $\mathsf{NC}^1$-Hard Problems
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity
by: Chen, Yifang, et al.
Published: (2024)
by: Chen, Yifang, et al.
Published: (2024)
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
by: Fan, Lizhou, et al.
Published: (2023)
by: Fan, Lizhou, et al.
Published: (2023)
Theoretical Constraints on the Expressive Power of $\mathsf{RoPE}$-based Tensor Attention Transformers
by: Li, Xiaoyu, et al.
Published: (2024)
by: Li, Xiaoyu, et al.
Published: (2024)
Neural Algorithmic Reasoning for Hypergraphs with Looped Transformers
by: Huang, Zekai, et al.
Published: (2025)
by: Huang, Zekai, et al.
Published: (2025)
Time and Memory Trade-off of KV-Cache Compression in Tensor Transformer Decoding
by: Chen, Yifang, et al.
Published: (2025)
by: Chen, Yifang, et al.
Published: (2025)
Circuit Complexity Bounds for Visual Autoregressive Model
by: Ke, Yekun, et al.
Published: (2025)
by: Ke, Yekun, et al.
Published: (2025)
Circuit Complexity Bounds for RoPE-based Transformer Architecture
by: Chen, Bo, et al.
Published: (2024)
by: Chen, Bo, et al.
Published: (2024)
On Fine-Grained I/O Complexity of Attention Backward Passes
by: Li, Xiaoyu, et al.
Published: (2024)
by: Li, Xiaoyu, et al.
Published: (2024)
Unlocking the Theory Behind Scaling 1-Bit Neural Networks
by: Daliri, Majid, et al.
Published: (2024)
by: Daliri, Majid, et al.
Published: (2024)
Stronger Approximation Guarantees for Non-Monotone γ-Weakly DR-Submodular Maximization
by: Jadav, Hareshkumar, et al.
Published: (2026)
by: Jadav, Hareshkumar, et al.
Published: (2026)
Near-Optimal Learning and Planning in Separated Latent MDPs
by: Chen, Fan, et al.
Published: (2024)
by: Chen, Fan, et al.
Published: (2024)
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation
by: Scarpa, Mattia, et al.
Published: (2025)
by: Scarpa, Mattia, et al.
Published: (2025)
Algorithmic causal structure emerging through compression
by: Wendong, Liang, et al.
Published: (2025)
by: Wendong, Liang, et al.
Published: (2025)
The Agent Capability Problem: Predicting Solvability Through Information-Theoretic Bounds
by: Lutati, Shahar
Published: (2025)
by: Lutati, Shahar
Published: (2025)
Similar Items
-
Demystifying the unreasonable effectiveness of online alignment methods
by: Kang, Enoch Hyunwook
Published: (2026) -
A Theory of Learning with Autoregressive Chain of Thought
by: Joshi, Nirmit, et al.
Published: (2025) -
A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention
by: Ye, Xiaowei, et al.
Published: (2026) -
A Unified Approach for Maximizing Continuous DR-submodular Functions
by: Pedramfar, Mohammad, et al.
Published: (2023) -
On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective
by: Li, Xiaoyu, et al.
Published: (2025)