3 papers
cs.IR2026
Improving the Efficiency and Effectiveness of LLM Knowledge Distillation for Conversational Search
Stan Fris, Jan Hutter, Jan Henrik Bertrand +2
Conversational Search (CS) considers retrieval of relevant documents based on conversational context. Large Language Models (LLMs) have significantly enhanced CS by enabling effect…
cs.LG2025
DreamerV3-XP: Optimizing exploration through uncertainty estimation
Lukas Bierling, Davide Pasero, Jan-Henrik Bertrand +1
We introduce DreamerV3-XP, an extension of DreamerV3 that improves exploration and learning efficiency. This includes (i) a prioritized replay buffer, scoring trajectories by retur…
cs.LG2024
Autoencoder-based General Purpose Representation Learning for Customer Embedding
Jan Henrik Bertrand, David B. Hoffmann, Jacopo Pio Gargano +2
Recent advances in representation learning have successfully leveraged the underlying domain-specific structure of data across various fields. However, representing diverse and com…