4 citations · 4 across the 10 of their papers we have counts for
10 papers
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Björn Engdahl, Adrian Kosowski, Jan Chorowski +6
We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reasoning. Inputs presented at inference time continuously update the model's recurre…
OmicsLM: A Multimodal Large Language Model for Multi-Sample Omics Reasoning
Maciej Sypetkowski, Joanna Krawczyk, Łukasz Smoli{ń}ski +8
Large language models can reason over biological knowledge, but they are not naturally equipped to work with quantitative omics measurements. Existing approaches either convert exp…
BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine
Remigiusz Kinas, Joanna Krawczyk, Rafał Powalski +6
Translational medicine turns underspecified development goals into evidence synthesis that must combine literature, trials, patents, and quantitative multi-omics analysis while pre…
Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series
Krzysztof Ociepa, Łukasz Flis, Remigiusz Kinas +2
The development of the Bielik v3 PL series, encompassing both the 7B and 11B parameter variants, represents a significant milestone in the field of language-specific large language…
Bielik-Minitron-7B: Compressing Large Language Models via Structured Pruning and Knowledge Distillation for the Polish Language
Remigiusz Kinas, Paweł Kiszczak, Sergio P. Perez +4
This report details the creation of Bielik-Minitron-7B, a compressed 7.35B parameter version of the Bielik-11B-v3.0 model, specifically optimized for European languages. By leverag…
Making Bielik LLM Reason (Better): A Field Report
Adam Trybus, Bartosz Bartnicki, Remigiusz Kinas
This paper presents a research program dedicated to evaluating and advancing the reasoning capabilities of Bielik, a Polish large language model. The study describes a number of st…
Bielik 11B v3: Multilingual Large Language Model for European Languages
Krzysztof Ociepa, Łukasz Flis, Remigiusz Kinas +2
We present Bielik 11B v3, a state-of-the-art language model highly optimized for the Polish language, while also maintaining strong capabilities in other European languages. This m…
Bielik v3 Small: Technical Report
Krzysztof Ociepa, Łukasz Flis, Remigiusz Kinas +2
We introduce Bielik v3, a series of parameter-efficient generative text models (1.5B and 4.5B) optimized for Polish language processing. These models demonstrate that smaller, well…
Bielik 11B v2 Technical Report
Krzysztof Ociepa, Łukasz Flis, Krzysztof Wróbel +2
We present Bielik 11B v2, a state-of-the-art language model optimized for Polish text processing. Built on the Mistral 7B v0.2 architecture and scaled to 11B parameters using depth…
Bielik 7B v0.1: A Polish Language Model -- Development, Insights, and Evaluation
Krzysztof Ociepa, Łukasz Flis, Krzysztof Wróbel +2
We introduce Bielik 7B v0.1, a 7-billion-parameter generative text model for Polish language processing. Trained on curated Polish corpora, this model addresses key challenges in l…