♻️ Leshem Choshen ♻️ @LChoshen
🥇 #NLProc researcher 🥈 Opinionatedly Summarizing #ML & #NLP papers 🥉 Good science #scientivism Let's pretrain together @IBMResearch & @MIT_CSAIL ktilana.wixsite.com/leshem-choshen Online Joined June 2018-
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Want to play with attribution? What neuron and attention head attends to what? How does it change in different models and sentences? Go play: huggingface.co/spaces/faceboo… Kudo @AIatMeta Igor Tufanov @mahnerak @javifer_96 @lena_voita
It is hard to make babies alone, others are already there looking for you find a like-minded fellow baby trainer, today
It is hard to make babies alone, others are already there looking for you find a like-minded fellow baby trainer, today https://t.co/NJAyZ75qTm
Did anyone check the difference in loss across seeds of pretraining (maybe Multiberts) @RTomMcCoy @nsaphra ?
Did hype killed encoders prematurely?
Did hype killed encoders prematurely?
Interesting! Can we do a similar study looking at LLM research in NLP? (eg the common intuition that LLMs are sucking all research oxygen)
Interesting! Can we do a similar study looking at LLM research in NLP? (eg the common intuition that LLMs are sucking all research oxygen)
(((ل()(ل() 'yoav))).. @yoavgo
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(((ل()(ل() 'yoav))).. @yoavgo
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Now we are getting to the technical part. THIS IS A BIG ONE: progress bars. The #1 comment (by far) was that participants wanted progress bars. This makes sense: imagine responding to 60 questions and not knowing if you are almost finished or just 1/5 of the way through. 6/9
Be clear about the task and compensate appropriately: participants want to know what they will need to do (click/write/speak). Beware too many attention checks or ones without a clear correct answer or uncorrectable answers (e.g., “leave this empty” + radio buttons). 4/9
Anyway, one of the justifications for the existence of Israel is that Jews have, for millennia, not been safe anywhere and need a homeland. One of the reasons the right has come to dominate Israeli politics is that Israelis feel their existence is under threat. Agitating for the…
@nicolayr_ @LChoshen @AIatMeta @mahnerak @javifer_96 @lena_voita All these tools are at their infancy (they can do this also only with small models and only for a single output token). I believe captum (fb/pytorch) has a deeper focus on images. In principle you can apply them to all kinds of transformers though.
@LChoshen @tianyunnn Hey Leshem, we are thinking about applying circuit-level analysis and constraints -- isolating language-neutral circuits and updating only parameters within (or positively related) language-neutral circuits could potentially help generalization without i/o hacks.
@LChoshen It’s indeed shown in previous MT works in a more general way, but one of our main findings is that alignment of representation alone is not sufficient for cross-lingual transfer. We are also exploring ways to improve generalization without changing the in/out space!
It is hard to make babies alone, others are already there looking for you find a like-minded fellow baby trainer, today
Would love to join but need friends for the way? Tell others what you seek on our slack Or join @akhaledv2 :
@LChoshen If anything it is indeed a very good excuse to discuss philosophy of language 😁. Appreciate the counterpoints!
Can LLMs acquire meaning/semantics from just text? Some think it is a priori not possibile, I personally think it's a super interesting philosophical question which needs further investigation! Thoughts? arxiv.org/abs/2404.12145
📜 New preprint! Equipped with our multisense consistency method, we dive deep into an exploration of the semantic understanding of #LLMs. @eliabruni & @_dieuwke_ @metaai #NLProc [1/7]🧵 arxiv.org/abs/2404.12145
@LChoshen @tianyunnn @Brown_NLP Dark mode for this paper for night readers 🌙 synthical.com/abs/2404.12444…
A wonderful generalisation of some of the observations we have had when working with intent datasets. Great insight. Great job. Kudos to authors
In more details, our loss cocktail has three key components: (1) Colbert/BertScore token-level similarity, (2) SimCSE similarity between different dropouts, (3) batch contrastive.
Hey folks! I've been getting a lot of DMs for guidance, so decided to take action on it. I'm excited to help and give back to the community. Don't hesitate to reach out if you have any questions or just want to say hi! Book a session 1:1 or DM me - topmate.io/askamrith
Heard about tinybenchmarks? No? You can actually hear about it now. podtail.com/podcast/ai-bre… @AIBreakdownPod its LLMs talking about LLMs evaluation
@pywirrarika i don't understand the argument you are making. no one was taking their free speech nor democracy rights.
we in israel are not fighting this war for "revenge" nor because it is "justified". we are doing it because it is necessary. because we were forced into it. because there is no other way. it receives overwhelming support despite shitty gov bc every gov would have done the same.
@LChoshen @TrelisResearch @gfodor Yes that experts can provide the kind of quality required, that quality is not simply fact based qa, that diversity is important, and that it is incredibly hard to do this in a consistent manner with volunteers of random or average specializations
Determined to write my entire PhD in this sunny corner in my slippers 🤘😎
@LChoshen Ugh, sorry that part I didn't think of, but neither Trump supporters nor anti-semites are part of my bubble. The Green AI people very much are, I selected for that topic and I haven't unfollowed anyone. So, seeing a strongly reduced engagement in that topic is curious.
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