59 citations · 66 across the 6 of their papers we have counts for
6 papers
Agentic Large Language Models, a survey
Aske Plaat, Max van Duijn, Niki van Stein +3
Background: There is great interest in agentic LLMs, large language models that act as agents. Objectives: We review the growing body of work in this area and provide a research ag…
Relevance feedback strategies for recall-oriented neural information retrieval
Timo Kats, Peter van der Putten, Jan Scholtes
In a number of information retrieval applications (e.g., patent search, literature review, due diligence, etc.), preventing false negatives is more important than preventing false…
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven +3
To what degree should we ascribe cognitive capacities to Large Language Models (LLMs), such as the ability to reason about intentions and beliefs known as Theory of Mind (ToM)? Her…
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation
Yanfang Hou, Peter van der Putten, Suzan Verberne
During the COVID-19 pandemic, large amounts of COVID-19 misinformation are spreading on social media. We are interested in the stance of Twitter users towards COVID-19 misinformati…
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection
Michail Tsiaousis, Gertjan Burghouts, Fieke Hillerström +1
The dominant paradigm in spatiotemporal action detection is to classify actions using spatiotemporal features learned by 2D or 3D Convolutional Networks. We argue that several acti…
Sign and Search: Sign Search Functionality for Sign Language Lexica
Manolis Fragkiadakis, Peter van der Putten
Sign language lexica are a useful resource for researchers and people learning sign languages. Current implementations allow a user to search a sign either by its gloss or by selec…