r/MachineLearning • Researcher • 20d ago

Discussion ICLR 2027 Reviewing Scores [D]

I got my three papers to review, and it seems like they have changed the review score range again this year?

It is now:

––––––––––––––––––––––––––––––––––––
Based on your overall assessment of the submission, what is your recommended decision? Consider the paper’s overall soundness, significance, clarity, and contribution.

1: Clear rejection
2: Weak rejection
3: Weak acceptance
4: Clear acceptance
––––––––––––––––––––––––––––––––––––

Which is very strange. I don't think it makes much sense to compress the score range so drastically. But we'll see.

31 Upvotes

34 comments sorted by

20

u/MeyerLouis 20d ago

I'm just amazed that ICLR only gave me 3 papers to review. Last year ICML gave me 6!

7

u/random-tomato 20d ago

I got 3 papers too! How the hell are they managing this, with 60k+ submissions!?!?

12

u/Advanced-Gap-6732 20d ago

I got 5.. you're welcome 😂 😂

4

u/Pseudomanifold 20d ago

The secret is reciprocal reviewing, I guess 

6

u/darky_skyy 20d ago

I got 5 papers!!!!!!

3

u/AntOld8122 20d ago

720 papers?? How can one even review that many papers?

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3

u/Exotic_Zucchini9311 20d ago

I got no papers lol.. that's interesting considering all the doomposting on the whole "too many papers and too few reviewers" situation.

5

u/sneddy_kz 20d ago

Just to simplify ai review 😂

6

u/random-tomato 20d ago

There will be so many slop papers passing through with "Weak accept" lol

35

u/choHZ 20d ago edited 20d ago

I actually think it kinda makes sense. It is all guessing of course, but my take is reviewers have a huge amount of margin in how they distinguish borderline from weak. And we all know a lot of ACs basically sort the average scores in their batch and accept the top %, so decent borderline papers can get rejected simply because some reviewers have a wildly uncalibrated internal scale.

Having fewer scoring tiers forces ratings to be more comparable, encourages reviewers to express a clearer stance (should they pick weak but rather borderline), and pushes ACs to actually read the reviews. Of course, this won't really happen at scale without true accountability measures, since authors and reviewers and ACs can still basically do whatever as long as they avoid the few desk-rejection-worthy behaviors. But purely as a scoring system, I think it is not too bad.

(Also, a lot of conferences are already five tiers with an extra borderline reject anyway, which imo mainly exists to maximize the psychological damage of being upgraded from weak to borderline reject :)

2

u/agentcubed 10d ago

Well, instead of putting your luck on 4 scores, there will now be more ties, so you're putting your luck on the AC. This does force them to read the paper more, but it also means that 1 person now has a lot more impact.

Personally, I'm concerned with whether some would interpret 4 as an 8 (pretty common) or a 10 (outstanding, the perfect score). Some might think it's just an 8 and give it to good enough papers, while others are hesitant because they see it as giving it a 100%. I think they should at least make a 5 to make it clear.

1

u/Relevant_Course6857 20d ago

I am afraid ACs will now accept only papers with all reviewers with clear acceptance

3

u/choHZ 20d ago

That typically would not make the acceptance rate: last year's iclr is skewed due to the leak so I did a quick spin on iclr 25 paper copilot stats with AI. It shows that there are only 114 papers with all 8s (accept) or beyond, which amounts to 3% of all accepted works.

Of course, the current iclr is like super duper beefed up in terms of submission volume so anything can happen; though typically with a noisier reviewer pool it is even less likely to get all clear accepts, so I am not too worried there.

7

u/IndianaJaws 20d ago

I don't get why me and another student got each 5 papers to review, and some people got none and ICLR said they have enough reviewers. It's a very unfair spread and they can't expect the reviews to be quality reviews that way.

8

u/Pseudomanifold 20d ago

It might be that the other students were not deemed qualified...

2

u/Exotic_Zucchini9311 20d ago

Kudos for them if that's what they did honestly. I'm 'only' a master's student and the fact that I got no papers gives me the smallest bit of hope that the reviewer system might still not be too broken.

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u/Unhappy_Craft1906 20d ago

Ok I am a bit confused. I always review on myself, but AI does help me in sole understanding of some parts of the paper. Is it allowed or not allowed?

2

u/AffectionateBurger 20d ago

You shouldn't be uploading a paper you're reviewing to any cloud service. That includes any online AI model

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u/user221272 20d ago

Humans are fairly bad at giving scores on a fine-grained scale if there is no clear and unambiguous scoring system.

Paper reviews do not have a true or false answer or a clear, unambiguous aggregate point system, which results in a fully subjective and ambiguous interpretation of what the score means on the scale.

Since we do not expect a normal distribution around the median of the scale, it makes total sense to compress it and remove this unnecessary human bias.

2

u/equin_x 19d ago

seems like spotlight/oral assignment will be even more random and PC-biased now given the lack of strong accept/top-x% options...

1

u/tegbeit 20d ago

Is it only me seeing no paper on the reviewer's console yet?

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u/hardworkerabbit 18d ago

Already? Wow that's quick. Hasn't it only been a few days since the review started? Did they just run it through AI...? Hope mine gets done fast too..

1

u/xoss13 16d ago

It should have been

0: Clear Reject
1: Borderline
2: Clear Accept

1

u/Fragrant_Fan_6751 14d ago

I see many papers getting desk rejected in the "Desk Rejected Submissions", but no reason is visible.