"David Faber" still does not work!

I mean, isn't it possible that LLMs could just be better at reading scientific abstracts? Not necessarily better at predicting neuroscience results?

And as an extension to this, I've heard anecdotally that debugging "questionable" AI generated code can take just as long as writing it from scratch.

And in this report, its buried a bit, but in the section "towards effective AI support for developers" there's mention of concern amongst developers about the potential vulnerabilities using AI to generate code could introduce.

www.microsoft.com/en-us/resear...

First, I just wanted to say thank you for taking the time to respond.

So, here is one paper that I would say defends the notion of "stochastic parrot"

x.com/RTomMcCoy/st...

You're definitely more well connected than someone in my position, but the assumption of "of course they can" isnt quite the shared and dominant sense that I've been getting.

This is one of the best talks I've seen recently! It highlights how skill sets translate across disciplines and how attacking a problem as an outsider may yield unexpected results. If you are excited about a new area, you should get outside your comfort zone and contribute in your own unique way

Either one works! Given my current profile, it probably makes sense to be in the responsible AI starter pack. (I'm working with security folks right now so I guess that's just been more at the forefront of my thoughts.)

Hi Stephen! Would I be able to join this 2nd privacy and security starter pack? Thank you!

Hi! Could I join in on this starter pack? Thank you!

Could I be included here as well? Thank you!

I made a second starter pack since the first one is full 😀

If you're an NLP researcher and haven't made it into either Starter Pack yet, please let me know! We're over halfway full at this point 😧

go.bsky.app/JgneRQk

thru the framework of Topic Modeling w/ and w/out LLM assistance.

Our findings indicate positive efficiency gains but also a worrisome anchoring bias that colors the final analysis.

We hope that our study can add meaningful evidence to this ongoing global dialogue. Read the paper for details!

3/3

our paper examines the integration of LLMs into specialized expert workflows, and explores both the potential benefits & worrisome pitfalls of this emerging partnership.

We asked International Policy experts to analyze and annotate lengthy AI Policy interviews,

2/3

🚨🚨The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?🧑🤖

This is a massive question that is both important and timely.

📜https://aclanthology.org/2024.emnlp-main.1230/

w/ Sabrina Akter, JP Singh, and @antonisa.bsky.social

Accepted to #EMNLP2024 Main,

1/3

Hi, I'm at George Mason University and published to emnlp 2024 main with a paper related to computational social science. Can you add me to this starter pack as well? Thank you!