Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Can Information Behaviour Inform Machine Learning?   The objective of this paper is to explore the opportunities for human
information behaviour research to inform and influence the field of machine
learning and the resulting machine information behaviour. Using the development
of foundation models in machine learning as an example, the paper illustrates
how human information behaviour research can bring to machine learning a more
nuanced view of information and informing, a better understanding of
information need and how that affects the communication among people and
systems, guidance on the nature of context and how to operationalize that in
models and systems, and insights into bias, misinformation, and
marginalization. Despite their clear differences, the fields of information
behaviour and machine learning share many common objectives, paradigms, and key
research questions. The example of foundation models illustrates that human
information behaviour research has much to offer in addressing some of the
challenges emerging in the nascent area of machine information behaviour.

4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an