3 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
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…
A Crosslingual Investigation of Conceptualization in 1335 Languages
Yihong Liu, Haotian Ye, Leonie Weissweiler +4
Languages differ in how they divide up the world into concepts and words; e.g., in contrast to English, Swahili has a single concept for `belly' and `womb'. We investigate these di…