22 citations · 37 across the 7 of their papers we have counts for
7 papers
The Geometry of Activity Cliffs: Representation Dependence and Multi-Scale Characterization of Activity Landscapes
Pawel Dabrowski-Tumanski, Bartosz Topolski, Dariusz Plewczynski +1
Activity cliffs, structurally similar compounds with large potency differences, are widely treated as intrinsic features of chemical datasets. We argue that apart from target biolo…
An explainable hypothesis-driven approach to Drug-Induced Liver Injury with HADES
Maciej Wisniewski, Bartosz Topolski, Pawel Dabrowski-Tumanski +2
Drug-induced liver injury (DILI) remains a leading cause of late-stage clinical trial attrition. However, existing computational predictors primarily rely on binary classification,…
Bolek: A Multimodal Language Model for Molecular Reasoning
Frederic Grabowski, Jacek Szczerbiński, Maciej Jaśkowski +4
Molecular property models increasingly support high-stakes drug-discovery decisions, but their outputs are often difficult to audit: classical predictors return scores without rati…
RapidDock: Unlocking Proteome-scale Molecular Docking
Rafał Powalski, Bazyli Klockiewicz, Maciej Jaśkowski +6
Accelerating molecular docking -- the process of predicting how molecules bind to protein targets -- could boost small-molecule drug discovery and revolutionize medicine. Unfortuna…
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
Tomasz Stanisławek, Filip Graliński, Anna Wróblewska +5
The relevance of the Key Information Extraction (KIE) task is increasingly important in natural language processing problems. But there are still only a few well-defined problems t…
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout
Filip Graliński, Tomasz Stanisławek, Anna Wróblewska +5
State-of-the-art solutions for Natural Language Processing (NLP) are able to capture a broad range of contexts, like the sentence-level context or document-level context for short…
LAMBERT: Layout-Aware (Language) Modeling for information extraction
Łukasz Garncarek, Rafał Powalski, Tomasz Stanisławek +4
We introduce a simple new approach to the problem of understanding documents where non-trivial layout influences the local semantics. To this end, we modify the Transformer encoder…