2 papers
cs.AI2026
TAPR: Enhancing LLM Performance with a Task-Aware Prompt Rewriter
Oliver Savolainen, Emanuele Bastianelli, Hosein Azarbonyad
Large Language Models (LLMs) often require carefully crafted prompts to unlock their full potential, which can be a barrier for non-expert users. This work addresses the challenge…
cs.IR2025
Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal Interventions
Oliver Savolainen, Dur e Najaf Amjad, Roxana Petcu
This reproducibility study analyzes and extends the paper "Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models," which investiga…