7 papers
A Systematic Study of Small Language Models on Abstract Reasoning Tasks
Nur A Zarin Nishat, Jens Lehmann, Andrei Aioanei +1
Endpoint accuracy on abstract-reasoning benchmarks does not reveal whether a language model has acquired a transferable rule or fit distribution-specific regularities. We study thi…
Tycho: Active Abstraction with Programmatic World Models for ARC-AGI-3
Jens Lehmann, Andrei Aioanei, Sahar Vahdati
ARC-AGI-3 turns abstraction into an interactive problem of skill acquisition. A player must infer an unfamiliar game's rules, hidden state, and goal while maintaining action effici…
OntoLearner: A Modular Python Library for Ontology Learning with Large Language Models
Hamed Babaei Giglou, Jennifer D'Souza, Andrei Aioanei +2
Ontology learning (OL) aims to automatically construct structured knowledge models from text, yet progress remains fragmented across methods, domains, and evaluation practices. Des…
The ARC of Progress towards AGI: A Living Survey of Abstraction and Reasoning
Sahar Vahdati, Andrei Aioanei, Haridhra Suresh +1
The Abstraction and Reasoning Corpus (ARC-AGI) has become a key benchmark for fluid intelligence in AI. This survey presents the first cross-generation analysis of 82 approaches ac…
ARC-TGI: Human-Validated Task Generators with Reasoning Chain Templates for ARC-AGI
Jens Lehmann, Syeda Khushbakht, Nikoo Salehfard +4
The Abstraction and Reasoning Corpus (ARC-AGI) probes few-shot abstraction and rule induction on small visual grids, but progress is difficult to measure on static collections of h…
DeepResearch: A Recursive Agentic Workflow for Complex Scientific Question Answering in Ecology
Jennifer D'Souza, Endres Keno Sander, Andrei Aioanei
We introduce DeepResearch, a novel agentic LLM-based system for automated scientific synthesis that supports recursive, depth- and breadth-controlled exploration of…
Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy
Andrei C. Aioanei, Regine Hunziker-Rodewald, Konstantin Klein +1
Epigraphy increasingly turns to modern artificial intelligence (AI) technologies such as machine learning (ML) for extracting insights from ancient inscriptions. However, scarce la…