135 citations · 182 across the 17 of their papers we have counts for
3 papers · 1 filter
How Susceptible are LLMs to Influence in Prompts?
Sotiris Anagnostidis, Jannis Bulian
Large Language Models (LLMs) are highly sensitive to prompts, including additional context provided therein. As LLMs grow in capability, understanding their prompt-sensitivity beco…
A Language Model's Guide Through Latent Space
Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann +1
Concept guidance has emerged as a cheap and simple way to control the behavior of language models by probing their hidden representations for concept vectors and using them to pert…
Towards Meta-Pruning via Optimal Transport
Alexander Theus, Olin Geimer, Friedrich Wicke +3
Structural pruning of neural networks conventionally relies on identifying and discarding less important neurons, a practice often resulting in significant accuracy loss that neces…