I am aware of the standards of papers that are published on NeurIPS and ACM Conference. A lot of paper on NeurIPS and ACM conference that were accepted this year, weren't in the caliber of GANs or Diffusion models. They used third-party applications as OpenAI GPT-3 Model on OpenAI website to prove a theory of theirs'.

I won't call that something NeurIPS caliber given GANs and many other papers as Thermodynamic Physics methods in Deep Learning and others were published on NeurIPS. I am aware of my capabilities and what I wrote my paper about. Besides, after getting my Harvard University email, I can easily get auto endorsement and submit it on arXiv.

I saw several grad students from Colombia University getting their paper rejected from NeurIPS for getting fundamental CNN concepts wrong but still they submitted their paper on arXiv anyways.

I am only asking for an endorsement as finding someone really specific on ML category is hard as least for me now. AI category is kinda easier. So, if someone is willing to give me endorsement and wants to read my paper I am more than happy to comply :)

Meanwhile, I am aware if my paper doesn't fit the standards or medicore arXiv will reject it anyways. I can at least say about myself, I am aware all the possibilities and not someone who came up with something random and believe that's a worth research paper.

I was considering for NeurIPS 2023 or one of the variants of ACM Conference but all the conference for this year are over. So, my plan is to upload the paper on arXiv and then find a suitable conference next year and submit there.

researchers submit draft version of their manuscripts and papers all the time way before it's published on a conference. So, I don't think it's a bad idea to have a draft version on arXiv just to justify that I found the ethical concern in a particular AI model first.

I thought about that but my paper is an Ethics paper and based on an experimental AI model of OpenAI. I previously wanted to submit it as a project to OpenAI but I believe it will have far more impact if I publish it to pre-print.

Waiting in this particular case would mean, someone else might beat me in publishing this Ethical concern regarding the AI model. And I'm open to feedback and before even thinking of publishing on arXiv, I went through all requirements and read ethics papers that deals in large language models. I believe my paper checks all the boxes to be submitted on arXiv.

Not really! One might argue diffusion models to be better but GAN and Diffusion both models have a reason to exist.

With diffusion model, you have a lot of room to play around with different types of data and change your architecture accordance to that data.

But, where GANs outshines, it's a model that's primarily used for tricky things as increasing resolution and more. Usage of GANs have been old-fashioned but there's lot to explore with GANs as it's a dynamic architecture, different from diffusion that's static.