3 papers
cs.HC2026
Decoding Workload and Agreement From EEG During Spoken Dialogue With Conversational AI
Lucija MihiÄ 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…
cs.CL2025
SLAyiNG: A Diverse and Community-validated Dataset of Queer Slang
Leonor Veloso, Lea Hirlimann, Philipp Wicke +4
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…
cs.CL2025
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…