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20232026
most citedLarge Language Models for Expansion of Spoken Language Understanding Systems to New Languages

1 citations · 2 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.HC2024

ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents

Jakub Hoscilowicz, Bartosz Maj, Bartosz Kozakiewicz +2

With the growing reliance on digital devices equipped with graphical user interfaces (GUIs), such as computers and smartphones, the need for effective automation tools has become i…

cs.HC2024

TinyClick: Single-Turn Agent for Empowering GUI Automation

Pawel Pawlowski, Krystian Zawistowski, Wojciech Lapacz +4

We present an UI agent for user interface (UI) interaction tasks, using Vision-Language Model Florence-2-Base. The agent's primary task is identifying the screen coordinates of the…

cs.CL2024

Large Language Models as Carriers of Hidden Messages

Jakub Hoscilowicz, Pawel Popiolek, Jan Rudkowski +2

Simple fine-tuning can embed hidden text into large language models (LLMs), which is revealed only when triggered by a specific query. Applications include LLM fingerprinting, wher…

cs.CL2024★ 1 cited

Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages

Jakub Hoscilowicz, Pawel Pawlowski, Marcin Skorupa +2

Spoken Language Understanding (SLU) models are a core component of voice assistants (VA), such as Alexa, Bixby, and Google Assistant. In this paper, we introduce a pipeline designe…

cs.CL2024★ 1 cited

Non-Linear Inference Time Intervention: Improving LLM Truthfulness

Jakub Hoscilowicz, Adam Wiacek, Jan Chojnacki +4

In this work, we explore LLM's internal representation space to identify attention heads that contain the most truthful and accurate information. We further developed the Inference…