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#scientivism — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #scientivism, aggregated by home.social.

  1. #LLMs "have the potential of playing an important role in [...]opinion formation in online social media"🫡🤖
    Not surprising. But also not encouraging

    Is it a potential we even want to research? under what terms?
    Thoughts?
    arxiv.org/abs/2312.15523

    #NLProc #scientivism #ethics #ml #machinelearning #chatgpt

  2. Solar mixes two base-model copies
    to create a larger one
    Then train it a bit more and beat other open models out there.
    How? and my thoughts 🧵

    (no author with a handle?!)
    arxiv.org/abs/2312.15166
    #scientivism #LLM #LLMS #pretraining #MIXTRAL #SOLAR #machinelearning #ml #NLP

  3. So many warn that evaluating with GPT favors GPT

    (or any LLM evaluating itself).

    Now it is also shown

    Science, not just educated guesses

    (Fig: T5, GPT, Bart each prefer their own) arxiv.org/abs/2311.09766

    #enough2skim #scientivism #NLP #nlproc #GPT #LLM #eval #data

  4. You know what?
    I will stop sharing any LLM "news" if they don't share with me first (models or code)

    #thereOrIDontCare
    #scientivism
    #uShareFirst

    Thanks delip rao for inspiration
    And the new vision and language that did open unlike XXXX-e
    twitter.com/DrJimFan/status/16
    #machinelearning #cv #nlproc #nlp

  5. So often we are reminded that good work goes unnoticed
    I share others' papers to change that
    What else could we do?
    What mechanisms better allow propagation by value rather than by fame?
    Is there something we can do to make science better?
    blog.samaltman.com/you-and-you

    #scientivism #ScienceMastodon #PR #NLProc #machinelearning #CV

  6. A surprising take on why we should open LLMs:
    otherwise empirical research would suffocate and
    rule-based (nativist) would return

    Not sure I am buying it or even that it is dreadful, but more the reason to share and hear opinions
    arxiv.org/abs/2301.05272
    Patrick Perrine
    #LLM #NLP #nlproc #machinelearning #ML #scientivism

  7. We want to pretrain🤞
    Instead we finetune🚮😔
    Could we collaborate?🤗

    ColD Fusion:
    🔄Recycle finetuning to multitask
    ➡️evolve pretrained models forever

    On 35 datasets
    +2% improvement over RoBERTa
    +7% in few shot settings
    🧵

    #NLProc #MachinLearning #NLP #ML #modelRecyclying #collaborativeAI #scientivism #pretrain

  8. We want to pretrain🤞
    Instead we finetune🚮😔
    Could we collaborate?🤗

    ColD Fusion:
    🔄Recycle finetuning to multitask
    ➡️evolve pretrained models forever

    On 35 datasets
    +2% improvement over RoBERTa
    +7% in few shot settings
    🧵

    #NLProc #MachinLearning #NLP #ML #modelRecyclying #collaborativeAI #scientivism #pretrain

  9. We want to pretrain🤞
    Instead we finetune🚮😔
    Could we collaborate?🤗

    ColD Fusion:
    🔄Recycle finetuning to multitask
    ➡️evolve pretrained models forever

    On 35 datasets
    +2% improvement over RoBERTa
    +7% in few shot settings
    🧵

    #NLProc #MachinLearning #NLP #ML #modelRecyclying #collaborativeAI #scientivism #pretrain

  10. We want to pretrain🤞
    Instead we finetune🚮😔
    Could we collaborate?🤗

    ColD Fusion:
    🔄Recycle finetuning to multitask
    ➡️evolve pretrained models forever

    On 35 datasets
    +2% improvement over RoBERTa
    +7% in few shot settings
    🧵

    #NLProc #MachinLearning #NLP #ML #modelRecyclying #collaborativeAI #scientivism #pretrain

  11. We want to pretrain🤞
    Instead we finetune🚮😔
    Could we collaborate?🤗

    ColD Fusion:
    🔄Recycle finetuning to multitask
    ➡️evolve pretrained models forever

    On 35 datasets
    +2% improvement over RoBERTa
    +7% in few shot settings
    🧵

    #NLProc #MachinLearning #NLP #ML #modelRecyclying #collaborativeAI #scientivism #pretrain

  12. 🔖Reviewing has so many faults📖
    Finally, there is a dataset of reviews, edits and everything else!

    5 venues 5K papers 11K reviews
    Enjoy!

    arxiv.org/abs/2211.06651
    Nils Dycke, Ilia Kuznetsov, Iryna Gurevych

    #NLProc #review #CV #machinelearning #scientivism

  13. What do we know about using a fine-tuned model rather than the pretrained
    They are sometimes much better, but what else?

    A story of great #scientivism hypotheses and their rejections

    The story of a field
    Survey 🧵