← People
Tom Kouwenhoven
interacted with
Leiden University (LIACS) — communicative AI, NLP/LLM + language evolution
met · ACL 2026 · 2026-07-06
@Tom_Kouwenhoven
LinkedIn
Google Scholar
Papers in the feed →
Papers · 12
Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?
arXiv.org
2026-05-01
alphaXiv
arXiv
S2
Traces of Social Competence in Large Language Models
Conference on Computational Natural Language Learning
2026-03-04
alphaXiv
arXiv
S2
Searching for Structure: Investigating Emergent Communication with Large Language Models
International Conference on Computational Linguistics
2024-12-10
alphaXiv
arXiv
S2
Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication
International Joint Conference on Artificial Intelligence
2024-08-01
alphaXiv
arXiv
S2
What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models
Workshop on Cognitive Modeling and Computational Linguistics
2024-07-25
alphaXiv
arXiv
S2
The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
Workshop on Cognitive Modeling and Computational Linguistics
2024-07-25
alphaXiv
arXiv
S2
Is Temperature the Creativity Parameter of Large Language Models?
ICCC
2024-05-01
alphaXiv
arXiv
S2
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
2023-11-17
alphaXiv
arXiv
S2
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
Conference on Computational Natural Language Learning
2023-10-31
alphaXiv
arXiv
S2
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding
Conference on Empirical Methods in Natural Language Processing
2023-10-30
alphaXiv
arXiv
S2
Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution
Frontiers in Artificial Intelligence
2022-04-26
S2
Analysis of Sycophancy Across Question-ing Styles A Comparative Study of Sycophancy Across Prompting Architectures and Large Language Models
S2