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Systematic Generalization
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Systematic Generalization in Language Models Scales with Information Entropy
Enabling Systematic Generalization in Abstract Spatial Reasoning through Meta-Learning for Compositionality
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models
Enhancing NLP Robustness and Generalization through LLM-Generated Contrast Sets: A Scalable Framework for Systematic Evaluation and Adversarial Training
Unveiling the Mechanisms of Explicit CoT Training: How CoT Enhances Reasoning Generalization
Towards Conscious Service Robots
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
Is Multiple Object Tracking a Matter of Specialization?
Neural networks that overcome classic challenges through practice
Many-body Expansion Based Machine Learning Models for Octahedral Transition Metal Complexes
On The Specialization of Neural Modules
Systematic Reasoning About Relational Domains With Graph Neural Networks
Compositional Models for Estimating Causal Effects
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
Attention-based Iterative Decomposition for Tensor Product Representation
Mixture of Latent Experts Using Tensor Products
What makes Models Compositional? A Theoretical View: With Supplement
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies
A Neural Rewriting System to Solve Algorithmic Problems
Case-Based or Rule-Based: How Do Transformers Do the Math?
Unsupervised Discovery of Object-Centric Neural Fields
On the generalization capacity of neural networks during generic multimodal reasoning
Interpretability Illusions in the Generalization of Simplified Models
Generating Interpretable Networks using Hypernetworks
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
Compositional Program Generation for Few-Shot Systematic Generalization
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
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