Stanford & Buffalo U Advance Language Modelling with State Space Models https://
syncedreview.com/2023/01/03/sta
nford-buffalo-u-advance-language-modelling-with-state-space-models/
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@jiqizhixin
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Stanford Buffalo Universities Advance Language Modeling State Space Models
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Meta AI OPT-IML Benchmark Improves LLM Instruction Tuning
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Improving Instruction Tuning for LLMs: Meta AI Presents the OPT-IML Benchmark of 2000 NLP Tasks
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DeepMind GraphCast Beats World’s Best Weather Forecasting System
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DeepMind & Google’s ML-Based GraphCast Outperforms the World’s Best Medium-Range Weather Forecasting System
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OpenAI’s Point-E Generates 3D Point Clouds From Text Prompts
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OpenAI’s Point·E: Generating 3D Point Clouds From Complex Prompts in Minutes on a Single GPU https://
syncedreview.com/2022/12/27/ope
nais-pointe-generating-3d-point-clouds-from-complex-prompts-in-minutes-on-a-single-gpu/
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Google’s Mu2SLAM: Unified Model For Speech And Text Understanding
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Google’s Mu2SLAM: Toward a Single Model For All Speech and Text Understanding Tasks https://
syncedreview.com/2022/12/22/goo
gles-mu2slam-toward-a-single-model-for-all-speech-and-text-understanding-tasks/
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Google FlexiViT: Flexible Vision Transformer for Any Patch Size
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Meet Google’s FlexiViT: A Flexible Vision Transformer for All Patch Sizes
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Microsoft’s Structured Prompting Scales In-Context Learning to Thousands
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Microsoft’s Structured Prompting Breaks In-Context Learning Length Limits, Scales to Thousands of Examples https://
syncedreview.com/2022/12/20/mic
rosofts-structured-prompting-breaks-in-context-learning-length-limits-scales-to-thousands-of-examples/
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Vision Transformers Learning Mechanisms Explored by Maryland NYU
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Maryland U & NYU’s Visual Exploration Reveals What Vision Transformers Learn https://
syncedreview.com/2022/12/18/mar
yland-u-nyus-visual-exploration-reveals-what-vision-transformers-learn/
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UC Berkeley and Peking U Propose Unsupervised Contrast-Consistent Search
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Finding Truth in LLMs: UC Berkeley & Peking U Propose Unsupervised Contrast-Consistent Search https://
syncedreview.com/2022/12/14/fin
ding-truth-in-llms-uc-berkeley-peking-u-propose-unsupervised-contrast-consistent-search/
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Microsoft E5 Text Embedding Model Tops MTEB Benchmark
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Microsoft’s E5 Text Embedding Model Tops the MTEB Benchmark With 40x Fewer Parameters https://
syncedreview.com/2022/12/13/mic
rosofts-e5-text-embedding-model-tops-the-mteb-benchmark-with-40x-fewer-parameters/
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