[Hotstorage-sc] Input regarding AI generated submissions to HS '26

[Ashvin Goel]

Hi all,

The HS '26 PC chairs (Young-ri and Bryan) are asking for input from us
regarding a set of paper submissions that have likely been AI generated.
Two reviewers expressed concerns to the chairs. They found several papers
with similar concepts applied to different areas, following a similar
structure, language (including hard to understand or strange words) and
flaws. The chairs found that a set of authors had submitted 10 papers (13%
of the 79 submissions). The reviewers are currently leaning negative on
several of these papers, pointing out that the papers are difficult to
understand, describe concepts vaguely, and use unfamiliar language. The
positive-leaning papers will be discussed at the PC meeting.

The chairs are looking for input about the best course of action to handle
this case of suspected AI-generated papers. On the one hand, ACM allows the
use of undisclosed AI. Thus, rejections should be grounded on the paper's
technical contribution and novelty, rather than AI use, which is hard to
detect accurately using current AI detection tools. On the other hand, such
AI-generated papers will overwhelm reviewers in the future.

Let me know if you have any specific suggestions regarding handling the
current case with the 10 submissions. More broadly, we should discuss if HS
should put in place any policies for AI generated papers. Here are some
examples I have seen:

1. Using multiple detectors and letting reviewers know so they can decide
2. Desk rejecting papers with hallucinated references
3. Limiting number of submissions by authors

Thanks
Ashvin
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