activity
20202026
most citedEvaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference

10 citations · 26 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Teaching LLMs at Charles University: Assignments and Activities

Jindřich Helcl, Zdeněk Kasner, Ondřej Dušek +4

This paper presents teaching materials, particularly assignments and ideas for classroom activities, from a new course on large language models (LLMs) taught at Charles University.…

cs.CL2024

factgenie: A Framework for Span-based Evaluation of Generated Texts

Zdeněk Kasner, Ondřej Plátek, Patrícia Schmidtová +2

We present factgenie: a framework for annotating and visualizing word spans in textual model outputs. Annotations can capture various span-based phenomena such as semantic inaccura…

cs.CL2024★ 1 cited

A Survey of Text Style Transfer: Applications and Ethical Implications

Sourabrata Mukherjee, Mateusz Lango, Zdenek Kasner +1

Text style transfer (TST) is an important task in controllable text generation, which aims to control selected attributes of language use, such as politeness, formality, or sentime…

cs.CL2024★ 2 cited

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Xing Han Lù, Zdeněk Kasner, Siva Reddy

We propose the problem of conversational web navigation, where a digital agent controls a web browser and follows user instructions to solve real-world tasks in a multi-turn dialog…

cs.CL2024★ 1 cited

Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation

Zdeněk Kasner, Ondřej Dušek

We analyze the behaviors of open large language models (LLMs) on the task of data-to-text (D2T) generation, i.e., generating coherent and relevant text from structured data. To avo…