2 papers
cs.AI2025
Lightweight Latent Verifiers for Efficient Meta-Generation Strategies
Bartosz Piotrowski, Witold Drzewakowski, Konrad Staniszewski +1
Verifiers are auxiliary models that assess the correctness of outputs generated by base large language models (LLMs). They play a crucial role in many strategies for solving reason…
cs.CL2025
Structured Packing in LLM Training Improves Long Context Utilization
Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur +4
Recent advancements in long-context large language models have attracted significant attention, yet their practical applications often suffer from suboptimal context utilization. T…