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cs.CL2026
A Reality Check of Inference-Time Context Augmentation Methods
Haeun Yu, Geert Heyman, Pepa Atanasova +1
Large language models (LLMs) often fail to utilise the context given in the input, resulting in hallucinations or a fallback to parametric knowledge. Context augmentation methods a…
cs.CL2026
Steer Like the LLM: Activation Steering that Mimics Prompting
Geert Heyman, Frederik Vandeputte
Large language models can be steered at inference time through prompting or activation interventions, but activation steering methods often underperform compared to prompt-based ap…