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From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.NI2026

EvalNet: A Practical Toolchain for Generation and Analysis of Extreme-Scale Interconnects

Maciej Besta, Patrick Iff, Marcel Schneider +10

EvalNet is a practical toolchain that generates and analyzes a wide range of extreme‑scale network topologies, providing detailed metrics on shortest and non‑shortest path diversit…

cs.CL2026

Demystifying Chains, Trees, and Graphs of Thoughts

Maciej Besta, Florim Memedi, Zhenyu Zhang +13

The field of natural language processing (NLP) has witnessed significant progress in recent years, with a notable focus on improving large language models' (LLM) performance throug…

cs.DB2026

GraphSeek: Next-Generation Graph Analytics with LLMs

Maciej Besta, Łukasz Jarmocik, Orest Hrycyna +7

Graphs are foundational across domains but remain hard to use without deep expertise. LLMs promise accessible natural language (NL) graph analytics, yet they fail to process indust…

cs.CL2026

Multi-Head RAG: Solving Multi-Aspect Problems with LLMs

Maciej Besta, Ales Kubicek, Robert Gerstenberger +13

Retrieval-Augmented Generation (RAG) improves Large Language Models (LLMs) by retrieving supporting documents into the prompt, but existing methods do not explicitly target queries…

cs.AI2025

Affordable AI Assistants with Knowledge Graph of Thoughts

Maciej Besta, Lorenzo Paleari, Jia Hao Andrea Jiang +15

Large Language Models (LLMs) are revolutionizing the development of AI assistants capable of performing diverse tasks across domains. However, current state-of-the-art LLM-driven a…

cs.AI2025

Psychologically Enhanced AI Agents

Maciej Besta, Shriram Chandran, Robert Gerstenberger +9

We introduce MBTI-in-Thoughts, a framework for enhancing the effectiveness of Large Language Model (LLM) agents through psychologically grounded personality conditioning. Drawing o…