AI/ML Research (GenAI:LLMs/VLMs, Agents and Reasoning, MedAI, HAI-Safety) 📝 Explorer ⚙️ Seeking Research Intern/Fellowship Opportunities ⏳Views are mine
England, United Kingdom
Joined November 2023
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In AACL-IJCNLP 2026, "LLM-Ideoplasticity: Measuring Ideological Plasticity in the Political Behavior of LLMs as a Context-Conditioned Distribution" won the best paper award.
Funny part? The EXACT same paper (with avg 4.17) was REJECTED from EMNLP! Same ARR cycle, no improvement!
Famous words from Linkin Park about NeurIPS-ICLR-ICML:
"We're building it up, to break it back down:
We're building it up, to burn it down:
We can't wait, to burn it to the ground...." 😆
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Exactly.
Reviews are bad (alreadt); I bet 70% of the reviewers won't even care to respond and 90% won't increase scores either (despite good rebuttal); as the scale is "imbalanced".
Comparing to 1-10:
1-3: 1
4-5: 2
6: 3
7-10: 4
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ICLR 2027 is a mess.
The reviews, the questions, the ratings, even the confidence scores are f****d....
Everything is upto the ACs and SACs. I hope and pray they'll work diligently and do justice.
I don't think any human will rate 4 too (from past experience). After initial review, I doubt if there will be 100+ 4s.
Cause, 4 is like previous 7-10 rating; and the papers deserving 7 is not likely to get rated 4, as it inflates the score to a 8-10 level; which is very rare.
Cooool!
Preparing for AI Research Scientist interviews? 🔥
We just open-sourced PaperLeet 🐈⬛ LeetCode for AI researchers: implement the core of ~100 key papers (llm, rl, diffusion, flow matching, JEPA, world models), graded by tests that check the math.
paperleet.com
It seems some @iclr_conf reviewers are using Pangram or such detectors and possibly, introducing some sort of bias, based on detector output.
But, as far as I know, reviewers are not allowed to copy-paste any text to such LLM/AI tools, except local inference.
@ReviewAcl please don’t enforce any policy if you can't develop a robust and reliable way to enforce it.
I'm a Gold Reviewer in ICML, published ~10 works in ICML-ICLR-NeurIPS-ACL-EMNLP, but can't review in ARR, cause I don't have masters.
Well, maybe, redefine criterias too.
I don’t like most of my assigned ICLR'27 papers. 3-4 out of 5 feel boring, and I don’t think any of them were even on my bidding list.
Reviewer assignment luck, I guess.
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Azmine Wasi ✈️ NeurIPS'26 retweeted
People might overvalue papers from the pre-LLM era.
A garbage is a garbage. It doesn’t become more useful because it is fully generated by humans.
Similarly, a good paper is a good paper. It doesn’t devalue because AI is used to improve its quality.
