Maja Trębacz

Biochemistry, Genetics and Molecular Biology · Life Sciences

7h-index1.3kcitations11works103.32yr avg
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Research Topics

Bioinformatics and Genomic Networks(4), Natural Language Processing Techniques(3), Gene expression and cancer classification(3), Topic Modeling(2), Advanced Graph Neural Networks(2)

Publications8 total

LLM Critics Help Catch LLM Bugs
arXiv (Cornell University)·2024· 8 citedOpen Access
Improving alignment of dialogue agents via targeted human judgements
arXiv (Cornell University)·2022· 130 citedOpen Access
Teaching language models to support answers with verified quotes
arXiv (Cornell University)·2022· 52 citedOpen Access
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
Bioinformatics·2021· 2 citedOpen Access
Open-Ended Learning Leads to Generally Capable Agents
arXiv (Cornell University)·2021· 54 citedOpen Access
Using ontology embeddings for structural inductive bias in gene\n expression data analysis
arXiv (Cornell University)·2020Open Access
Using ontology embeddings for structural inductive bias in gene expression data analysis
arXiv (Cornell University)·2020· 2 citedOpen Access
Incorporating network based protein complex discovery into automated model construction
arXiv (Cornell University)·2020Open Access

Frequent Co-authors

Nikola Simidjievski(4), Zohreh Shams(4), Helena Andrés-Terré(4), Mateja Jamnik(4), Píetro Lió(4), Nat McAleese(3), Paul Scherer(3), John Aslanides(2), Martin J. Chadwick(2), Lucy Campbell-Gillingham(2), Susannah Young(2), Geoffrey Irving(2), Amelia Glaese(1), Nat McAleese(1), Vlad Firoiu(1), Timo Ewalds(1), Maribeth Rauh(1), Laura Weidinger(1), Phoebe Thacker(1), Jonathan Uesato(1)