3 citations · 6 across the 7 of their papers we have counts for
7 papers
Decoding Workload and Agreement From EEG During Spoken Dialogue With Conversational AI
Lucija Mihić Zidar, Philipp Wicke, Praneel Bhatia +3
Passive brain-computer interfaces offer a potential source of implicit feedback for alignment of large language models, but most mental state decoding has been done in controlled t…
SLAyiNG: A Diverse and Community-validated Dataset of Queer Slang
Leonor Veloso, Lea Hirlimann, Lucija Mihić Zidar +3
Queer vernacular is rarely studied in NLP, despite advancements in resources and evaluation for other sociolects and informal language. Because of this, NLP systems often process q…
Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models
Ahmad Dawar Hakimi, Ali Modarressi, Philipp Wicke +1
Understanding how large language models (LLMs) acquire and store factual knowledge is crucial for enhancing their interpretability and reliability. In this work, we analyze the evo…
Robustness Testing of Multi-Modal Models in Varied Home Environments for Assistive Robots
Lea Hirlimann, Shengqiang Zhang, Hinrich Schütze +1
The development of assistive robotic agents to support household tasks is advancing, yet the underlying models often operate in virtual settings that do not reflect real-world comp…
Exploring Spatial Schema Intuitions in Large Language and Vision Models
Philipp Wicke, Lennart Wachowiak
Despite the ubiquity of large language models (LLMs) in AI research, the question of embodiment in LLMs remains underexplored, distinguishing them from embodied systems in robotics…
Probing Language Models' Gesture Understanding for Enhanced Human-AI Interaction
Philipp Wicke
The rise of Large Language Models (LLMs) has affected various disciplines that got beyond mere text generation. Going beyond their textual nature, this project proposal aims to inv…
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation
Shengqiang Zhang, Philipp Wicke, Lütfi Kerem Şenel +5
The convergence of embodied agents and large language models (LLMs) has brought significant advancements to embodied instruction following. Particularly, the strong reasoning capab…