activity
20242026
most citedPsychologically Enhanced AI Agents

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Performance Foundations of Parallel & Distributed Reasoning Language Models

Maciej Besta, Leonard Schmidt, Lara Nonino +7

Reinforcement Learning with Verifiable Rewards (RLVR) and other RL-style post-training paradigms have been used for aligning large language models (LLMs) with reasoning standards.…

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.DC2025

Inductive Loop Analysis for Practical HPC Application Optimization

Philipp Schaad, Tal Ben-Nun, Patrick Iff +1

Scientific computing applications heavily rely on multi-level loop nests operating on multidimensional arrays. This presents multiple optimization opportunities from exploiting par…

cs.HC2025

VEIL: Reading Control Flow Graphs Like Code

Philipp Schaad, Tal Ben-Nun, Torsten Hoefler

Control flow graphs (CFGs) are essential tools for understanding program behavior, yet the size of real-world CFGs makes them difficult to interpret. With thousands of nodes and ed…

cs.DC2025

SpaDA: A Spatial Dataflow Architecture Programming Language

Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler

Spatial dataflow architectures like the Cerebras Wafer-Scale Engine deliver exceptional performance in AI and scientific computing by distributing scratchpad memory across hundreds…

cs.AI2025★ 1 cited

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…

cs.DB2025

Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors

Patrick Iff, Paul Bruegger, Marcin Chrapek +3

Advances in embedding models for text, image, audio, and video drive progress across multiple domains, including retrieval-augmented generation, recommendation systems, and others.…

cs.DB2025

Higher-Order Graph Databases

Maciej Besta, Shriram Chandran, Jakub Cudak +6

Recent advances in graph databases (GDBs) have been driving interest in large-scale analytics, yet current systems fail to support higher-order (HO) interactions beyond first-order…

cs.AR2025

FoldedHexaTorus: An Inter-Chiplet Interconnect Topology for Chiplet-based Systems using Organic and Glass Substrates

Patrick Iff, Maciej Besta, Torsten Hoefler

Chiplet-based systems are rapidly gaining traction in the market. Two packaging options for such systems are the established organic substrates and the emerging glass substrates. T…

cs.AR2025

PlaceIT: Placement-based Inter-Chiplet Interconnect Topologies

Patrick Iff, Benigna Bruggmann, Maciej Besta +2

2.5D integration technology is gaining traction as it copes with the exponentially growing design cost of modern integrated circuits. A crucial part of a 2.5D stacked chip is a low…

cs.DC2024

High Performance Unstructured SpMM Computation Using Tensor Cores

Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini +3

High-performance sparse matrix-matrix (SpMM) multiplication is paramount for science and industry, as the ever-increasing sizes of data prohibit using dense data structures. Yet, e…