Conclusion and Perspectives, References & Supplementary Materials: Our Journey With ARC
19 Apr 2024
We have presented a novel and general approach to efficiently learn skills at tasks that consist in generating structured outputs as a function
Evaluation Our Approach on ARC and Beyond: A Look Back at Our Experiments
19 Apr 2024
In this section, we first evaluate our approach on ARC, comparing it to existing approaches in terms of success rates, efficiency, model complexity, and more
MDL-based Model Learning: How It Works
13 Apr 2024
MDL-based learning works by searching for the model that compresses the data the more. The data to be compressed is here the set of training examples.
Object-Centric Models for ARC Grids: A Deeper Look
13 Apr 2024
We introduce object-centric models as a mix of patterns and functions, in contrast to DSL-based programs that are only made of functions. We examplify them
The Definition of Abstraction and Reasoning Corpus (ARC): A Beginner's Lesson
11 Apr 2024
The Abstraction and Reasoning Corpus (ARC) is a collection of tasks. Each task is made of training examples (3.3 on average) and test examples
The Abstraction and Reasoning Corpus (ARC): Why It's Important
10 Apr 2024
The Abstraction and Reasoning Corpus (ARC) is a challenging benchmark, introduced to foster AI research towards human-level intelligence
Account Abstraction, Analysed: Further Discussions
28 Mar 2024
Accounts within the Ethereum ecosystem serve as the bedrock for asset querying, storage, and transactions, constituting a pivotal element of its infrastructure.
Account Abstraction, Analysed: Security Analysis
28 Mar 2024
Accounts within the Ethereum ecosystem serve as the bedrock for asset querying, storage, and transactions, constituting a pivotal element of its infrastructure.
Account Abstraction, Analysed: Conclusion & References
28 Mar 2024
Accounts within the Ethereum ecosystem serve as the bedrock for asset querying, storage, and transactions, constituting a pivotal element of its infrastructure.