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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.DS2026

Compact Path Representation in DAGs via Colored Edge Pebbling

Paola Bonizzoni, Alessio Conte, Gianluca Della Vedova +3

Compactly representing a variation graph is a core problem in computational pangenomics that is usually attacked with techniques that have been originated on texts and adapted to g…

cs.LG2026

Predicting Task Difficulty Without Rollouts

Stefan Krsteski, Charlotte Meyer

Task difficulty dictates an agent's likelihood of success, and estimating it without rollouts means forecasting this directly from a task description before executing costly simula…

cs.AI2026

Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluation

Stefan Krsteski, Charlotte Meyer, Guillaume Allegre +2

The paper introduces Messier, a unified corpus of 957,253 standardized evaluation records spanning thousands of agents, tasks, and benchmarks, to enable cross‑benchmark analysis an…

cs.CL2025

Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification

Stefan Krsteski, Giuseppe Russo, Serina Chang +2

Surveys provide valuable insights into public opinion and behavior, but their execution is costly and slow. Large language models (LLMs) have been proposed as a scalable, low-cost…

cs.SE2025

MMORE: Massive Multimodal Open RAG & Extraction

Alexandre Sallinen, Stefan Krsteski, Paul Teiletche +7

We introduce MMORE, an open-source pipeline for Massive Multimodal Open RetrievalAugmented Generation and Extraction, designed to ingest, transform, and retrieve knowledge from het…

cs.CL2025

Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language

Stefan Krsteski, Matea Tashkovska, Borjan Sazdov +2

The increase in technological adoption worldwide comes with demands for novel tools to be used by the general population. Large Language Models (LLMs) provide a great opportunity i…