Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Techniques to Improve Q&A Accuracy with Transformer-based models on
  Large Complex Documents   This paper discusses the effectiveness of various text processing techniques,
their combinations, and encodings to achieve a reduction of complexity and size
in a given text corpus. The simplified text corpus is sent to BERT (or similar
transformer based models) for question and answering and can produce more
relevant responses to user queries. This paper takes a scientific approach to
determine the benefits and effectiveness of various techniques and concludes a
best-fit combination that produces a statistically significant improvement in
accuracy.

36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas