Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Entity-Based Knowledge Conflicts in Question Answering   Knowledge-dependent tasks typically use two sources of knowledge: parametric,
learned at training time, and contextual, given as a passage at inference time.
To understand how models use these sources together, we formalize the problem
of knowledge conflicts, where the contextual information contradicts the
learned information. Analyzing the behaviour of popular models, we measure
their over-reliance on memorized information (the cause of hallucinations), and
uncover important factors that exacerbate this behaviour. Lastly, we propose a
simple method to mitigate over-reliance on parametric knowledge, which
minimizes hallucination, and improves out-of-distribution generalization by
4%-7%. Our findings demonstrate the importance for practitioners to evaluate
model tendency to hallucinate rather than read, and show that our mitigation
strategy encourages generalization to evolving information (i.e.,
time-dependent queries). To encourage these practices, we have released our
framework for generating knowledge conflicts.

11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
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The categories of this paper are: nlin
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
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The categories of this paper are: eess
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics