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nekize t1_jdldodi wrote

Reply to comment by learn-deeply in [R] Reflexion: an autonomous agent with dynamic memory and self-reflection - Noah Shinn et al 2023 Northeastern University Boston - Outperforms GPT-4 on HumanEval accuracy (0.67 --> 0.88)! by Singularian2501

Sadly that is what academia came to. I am doing my phd and 80% od my papers is just padding. And if you don t follow the “template” you can t publish anything

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artsybashev t1_jdlml1f wrote

Sounds like we need a LLM to generate padding for the academia and LLM to write the tldr for the readers. World is dumb.

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danielbln t1_jdm967m wrote

Relevant: https://i.imgur.com/D8WFIMZ.png

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artsybashev t1_jdmpwwd wrote

The fluffy overly complex writing around your main message has worked as a barrier or prefilter to filter out bad job candidates or unqualified contributions to scientific discussion. LLMs are destroying this part. Interesting to see what this leads to.

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fnordstar t1_jdv0sl3 wrote

That just seems like elitism. Like rejecting someone for having an accent instead of speaking oxford english.

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VelveteenAmbush t1_jdsjab4 wrote

Also an LLM to read all of the tldrs and tell me which of them I should pay attention to.

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Fal_the_commentator t1_jdlo48r wrote

Good papers don't need to do that. If papers are self contained, no need for gibberish.

From my experience, it comes from when the paper is not planned before being written, or when results/methodology is either not refined or not interesting enough.

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maskedpaki t1_jdlu3k1 wrote

well at least you can use gpt4 for padding now.

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Normal_Antelope_2556 t1_jdlqc42 wrote

as a person who inspires to go into research in this field,how bad is it? Can people even do their own research?

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nekize t1_jdlrqnt wrote

Of course you can. Depending in which group you end up, there is a lot of cool stuff being done outside of NLP and Computer vision (if you consider these two “solved”).

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rsha256 t1_jdq13w4 wrote

What does CV have That makes it “solved”? Stable Diffusion?

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learn-deeply t1_jdnkaw7 wrote

If you need to pad your paper, that means there hasn't been enough original research done.

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