output
19922026
most citedToeplitz Quantization of Kähler Manifolds and

342 citations

354 papers

cs.SE2026

Treating Run-time Execution History as a First-Class Citizen: Co-Versioning Run-time Behavior alongside Code

Marcus Kessel

Behavioral Co-Versioning remains absent from mainstream practice: while developers routinely version source code with Git, they rarely persist and query how run-time behavior evolv…

cs.CL2026★ 1 cited

Shiny Stories, Hidden Struggles: Investigating the Representation of Disability Through the Lens of LLMs

Marco Bombieri, Simone Paolo Ponzetto, Marco Rospocher

Modern Large Language Models (LLMs) have recently attracted much attention for their ability to simulate human behavior and generate text that reflects personas and demographic gro…

cs.LG2026

The Impact of Dimensionality on the Stability of Node Embeddings

Tobias Schumacher, Simon Reichelt, Markus Strohmaier

Previous work has shown that node embedding methods can produce different representations and downstream predictions across repeated training runs, even when trained on the same da…

cs.CV2025

Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs

Pius Horn, Janis Keuper

Correctly parsing mathematical formulas from PDFs is critical for training large language models and building scientific knowledge bases from academic literature, yet existing benc…

cs.CL2025

MCP vs RAG vs NLWeb vs HTML: A Comparison of the Effectiveness and Efficiency of Different Agent Interfaces to the Web (Technical Report)

Aaron Steiner, Ralph Peeters, Christian Bizer

Large language model agents are increasingly used to automate web tasks such as product search, offer comparison, and checkout. Current research explores different interfaces throu…

cs.CY2025★ 2 cited

Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs

Indira Sen, Marlene Lutz, Elisa Rogers +2

Many applications of Large Language Models (LLMs) require them to either simulate people or offer personalized functionality, making the demographic representativeness of LLMs cruc…