Autoregressive Search Engines: Generating Substrings as Document Identifiers https://
bit.ly/3VRHjio 5/6
RESEARCH
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Autoregressive Search Engines: Generating Substrings as Document Identifiers
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NeurIPS 2022 papers and recent research work collection
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Want to read more? You can see a full list of papers and more of our recent work on our #NeurIPS2022 page here https://
bit.ly/3P7ohCv 6/6 -
NeurIPS 2022 Outstanding Paper: Data Pruning Beats Neural Scaling Laws
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Recognized as a #NeurIPS2022 Outstanding Paper: Beyond neural scaling laws: beating power law scaling via data pruning https://
bit.ly/3uu7U9v 3/6 -
Memorization Without Overfitting in Large Language Models Training
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Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models https://
bit.ly/3Hhs4LK 4/6 -
Deep Contrastive Learning Analysis Through Coordinate-wise Optimization
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Understanding Deep Contrastive Learning via Coordinate-wise Optimization https://
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NeurIPS 2022 Papers Presentation and Learning Resources
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Papers we presented at #NeurIPS2022 that you should know about (and how you can learn more even if you’re not at the conference.) /6
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OpenAI Recruiting: Join Modern Bell Labs for AI Research
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to my colleagues for making it feel like i get to walk into the modern bell labs every day. please consider joining us at openai! being in the room for research breakthroughs is awesome, the problems are interesting, the people are great, and we ship. https://
youtu.be/AyOnug-3OKM -

New Algorithm Reveals How Objects Assemble from Parts
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Given any arbitrarily assembled object, new algorithm answers how it’s assembled from individual parts: https://t.co/F9EohCjpmC
— MIT CSAIL (@MIT_CSAIL) 6 décembre 2022
work/@ADSKResearch & @TAMU pic.twitter.com/hY7IeWcUe5Given any arbitrarily assembled object, new algorithm answers how it’s assembled from individual parts: http://
bit.ly/3uuMyck work/
@ADSKResearch & @TAMU -
Meta AI Unveils CICERO Breakthrough Agent with Team Insights
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See what the humans behind #CICERObyMetaAI have to say about the breakthrough AI agent they built: @polynoamial, @em_dinan, @alex_h_miller, @adamlerer, @anton_bakhtin, @ml_perception and @joespeez.
— AI at Meta (@AIatMeta) 6 décembre 2022
For more on CICERO, read our blog: https://t.co/9Y4dHBYcHZ pic.twitter.com/AmH5ivs5SkSee what the humans behind #CICERObyMetaAI have to say about the breakthrough AI agent they built: @polynoamial
, @em_dinan
, @alex_h_miller
, @adamlerer
, @anton_bakhtin
, @ml_perception and @joespeez
. For more on CICERO, read our blog: https://
bit.ly/3iIhxyB -

PLATO-K: Chinese dialogue model achieves new SOTA performance
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Introducing PLATO-K, a 22B Chinese open-domain dialogue generation model with knowledge enhancement. PLATO-K achieves new SOTA in Chinese open-domain conversation with remarkable improvements in knowledge accuracy and overall engagingness. Paper: https://
arxiv.org/abs/2211.00910